Faizan Ahmad is a Shopify developer who works on checkout and storefront customization, theme performance, accessibility, and conversion improvements. Their posts also discuss using AI to speed up development without replacing developers’ architectural and user-experience decisions.
Most useful for Shopify checkout and theme development, performance, accessibility, and conversion improvements.
Best for
A Shopify agency needing checkout, theme, performance, accessibility, or conversion work.
Not for
Consumer brand sponsored placements or product storytelling campaigns.
Key takeaways
Consolidate checkout logic with Checkout Extensions and Shopify Functions instead of stacking apps.
Express checkout can select the wrong variant, creating conversion friction.
Accessibility is part of store usability and performance, not just compliance.
Check first: Ask for measured results, client names, and audience role data.
Main ideas
Own checkout logic when apps create more problems than they solve · Look for conversion friction before assuming a store needs more traffic · Keep the storefront simple by making the underlying architecture cleaner
Faizan Ahmad is a Shopify developer whose LinkedIn posts focus on building and improving storefronts, checkout experiences and the systems behind them.
They write about practical technical concerns: replacing overlapping checkout apps with Shopify-native tools, fixing checkout friction such as the wrong variant being selected, and improving performance and accessibility.
Follow them for a developer’s perspective on making Shopify stores work better—not just adding more tools—and using AI to speed up development without replacing architectural and user-experience judgment.
Faizan Ahmad connects backend choices to merchants’ and customers’ experiences.
In one checkout post, they explain how relying on multiple apps can create overlapping features, recurring costs, slower performance and harder maintenance, then describe using Checkout Extensions and Shopify Functions to consolidate checkout logic.
Another post names concrete storefront problems, including express checkout selecting the wrong variant, and pairs them with work such as performance improvements and testable landing pages.
Their focus also extends to accessibility and AI-assisted development: they frame accessibility as part of usability and performance, and AI as a way to handle routine work rather than a substitute for good architecture.
For buyers, the posts outline priorities but provide no measured results or detailed case studies; ask for those before assessing the impact of their work.
Faizan Ahmad’s posts return to one practical idea: better Shopify stores come from reducing friction and keeping the system behind the storefront well designed, not simply adding more tools.
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That principle connects checkout, conversion, accessibility, and AI-assisted development.
Own checkout logic when apps create more problems than they solve
Faizan argues that growing stores can end up with overlapping apps that add cost, slow performance, and make checkout harder to maintain.
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Where a feature can be built natively, custom logic can give a store more control. They also say apps have a place.
Faizan describes consolidating checkout logic with Shopify Checkout Extensions and Shopify Functions, alongside Remix. The post asks other developers whether they prefer custom checkout infrastructure or apps.
Look for conversion friction before assuming a store needs more traffic
Faizan points to technical problems in the buying journey as a source of lost conversions.
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The argument is that small, specific fixes can matter more than adding visitors.
Faizan lists express checkout selecting the wrong product variant, slow homepage performance, landing pages built for A/B tests, and merchant-editable theme sections as work aimed at reducing friction.
Keep the storefront simple by making the underlying architecture cleaner
Faizan contrasts adding more tools with building a well-structured system.
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The customer experience can remain simple while the implementation behind it uses Shopify-native features and other development tools. This is the broader design principle behind the checkout-consolidation argument.
Faizan names Shopify Functions, Checkout Extensions, Remix, and Metaobjects, and says high-performing stores tend to focus on clean architecture rather than adding more tools.
Treat accessibility as part of the store experience, not just risk management
Faizan connects accessibility work to clearer navigation and a better user experience, and argues that it may also help performance and search visibility.
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Faizan frames Shopify ADA compliance as a conversion concern as well as a way to avoid risk, and asks whether builders actively consider accessibility.
Use AI to speed up development, while leaving product decisions to developers
Faizan describes AI as useful for routine work and getting a project moving, not as a substitute for architectural judgment, user-experience decisions, or knowledge of Shopify at scale.
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Faizan names starter-code generation, content structure, and repetitive tasks as places AI can help, while saying developers still shape the final product through architecture, performance, and UX decisions.
This is the clearest statement of Faizan Ahmad’s Shopify checkout work: replacing overlapping third-party apps with code they own.
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It lays out the working position behind the other posts.
Faizan Ahmad argues that many checkout features stores pay third-party apps for can now be built directly with Checkout Extensions and Shopify Functions.
As app-based checkouts accumulate, they can involve several apps solving overlapping problems, slower performance, higher monthly fees, harder debugging and maintenance, and less control over the checkout experience.
Ahmad’s focus is consolidating checkout logic into Shopify-native solutions using Remix, Checkout Extensions and Functions, while acknowledging that apps have their place.
The post asks other Shopify developers whether they lean toward custom checkout infrastructure or app-based solutions, presenting a working position rather than a finished sales pitch.
For brands planning a campaign
For an agency brief on checkout work, the natural collaboration is a consolidation audit: what a store’s app stack does, which parts native checkout extensions could take over, and how that would affect cost and maintenance. A walkthrough of one real migration would make the case better than a general sponsorship mention.
It answers the question brands ask when hiring: which specific problems does Ahmad fix, and what value do they say the fix delivers?
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Most Shopify stores don’t have a traffic problem, Faizan Ahmad argues; they have a conversion-friction problem.
Ahmad lists the work they say they have been doing for stores: fixing express checkout that selects the wrong variant, improving Lighthouse performance scores on Shopify homepages, building landing pages for A/B tests, and creating custom sections merchants can control from the theme editor.
The post argues that small technical improvements can produce significant conversion gains, then invites store owners and agencies to connect for theme development, performance optimisation or custom functionality.
For brands planning a campaign
The express-checkout variant bug is concrete and easy to verify in a live store, making it a strong campaign hook: a short diagnostic or checklist for store owners, with the fix demonstrated rather than described. It also signals the kind of client Ahmad wants: stores and agencies with technical conversion problems, rather than general branding needs.
This is the shortest version of the argument running through the checkout posts: high-performing stores stand apart through system structure, not tool count.
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Faizan Ahmad appreciates that modern Shopify development lets developers build storefront experiences without relying on dozens of apps, and says they are working more with Shopify Functions, Checkout Extensions, Remix and Metaobjects.
Their takeaway is that high-performing stores usually focus on clean architecture rather than adding more tools, with a simple customer experience on the surface and well-structured systems behind it.
The post contrasts visible simplicity with the structure underneath.
For brands planning a campaign
Useful as a supporting piece rather than a lead: it explains the philosophy behind the checkout and performance posts and gives an agency language for the pitch—architecture decisions behind a simple storefront. A technical collaboration could pair it with a build log showing what a Remix, Functions and Metaobjects setup looks like in practice.
It shows a distinct priority beyond checkout speed: treating Shopify ADA compliance as part of conversion and SEO, not a separate legal chore.
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Faizan Ahmad argues that Shopify ADA compliance is not only about avoiding risk but also about improving conversions: cleaner code, better navigation and a better user experience can lift performance and SEO.
Ahmad says most stores still treat accessibility as an afterthought and asks readers whether they consider it in their Shopify builds or skip it for now.
The post states a priority without demonstrating it through a case.
For brands planning a campaign
Offers an agency a second entry point beyond checkout work: an accessibility review tied to measurable outcomes such as navigation, page speed and search visibility. Because the post offers no worked example, a campaign making this claim should supply before-and-after evidence.
It shows whether Ahmad treats AI as a replacement for craft or a tool within it—a useful distinction for an agency deciding who to bring onto a build.
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Faizan Ahmad writes that AI is becoming a major part of Shopify development, but not in the way people assume.
The biggest value they have seen is faster workflows, not replacing developers: generating starter code, improving content structure, handling repetitive tasks and helping merchants move faster.
Ahmad argues that architecture, user-experience decisions, performance optimisation and understanding how Shopify works at scale still make the difference.
AI can accelerate development, while good developers shape the final product.
For brands planning a campaign
This post supports an AI-assisted Shopify development campaign about practical workflows guided by architectural and UX judgement—an angle suited to agencies sceptical of off-the-shelf AI claims. It sets out a position; a campaign should show the actual workflow rather than repeat the thesis.
Across the checkout posts, Ahmad argues that growing Shopify stores accumulate overlapping third-party apps for features that can now be built natively with Checkout Extensions and Shopify Functions.
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The stated costs include multiple apps solving the same problem, slower performance, higher monthly costs, harder debugging and maintenance, and less control over checkout.
Consolidating checkout logic into custom Shopify-native builds using Remix, Checkout Extensions, Shopify Functions, and Metaobjects. The posts present clean architecture as what separates high-performing stores from those that simply add more tools.
Faizan Ahmad states directly that third-party apps are not bad and "absolutely have their place," and frames the post as a question to other developers rather than a rule for every store.
For brands planning a campaign
For an agency brief on checkout and theme development, the posts support a collaboration framed as a checkout architecture review: inventory a store’s apps, identify overlapping checkout functions, and assess which are worth rebuilding natively. A pitch built simply around “remove your apps” would misrepresent the position.
AI as a process accelerator, not a developer replacement
A post on AI in Shopify development argues that its biggest value is not replacing developers but speeding up workflows: generating starter code, improving content structure, handling repetitive tasks, and helping merchants move faster.
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Architecture, UX decisions, performance optimization, and understanding how Shopify works at scale still determine the final product.
For brands planning a campaign
For a developer-tooling or AI product brief, the posts offer a practical angle: a working developer showing where AI saves time in a Shopify build—and where it does not decide the outcome. The material suits a demonstration or walkthrough better than a broad opinion piece on AI and jobs.
Conversion friction as the real storefront problem
One post reframes the common diagnosis that stores have a traffic problem as a conversion-friction problem.
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Work described as current at the time includes fixing express checkout selecting the wrong variant, improving Lighthouse performance on Shopify homepages, building landing pages for A/B tests, and creating custom sections merchants can control in the theme editor. The post argues that small technical improvements often lead to significant conversion gains.
A conversion-focused storefront workstream covering checkout correctness, page-performance measurement, testable landing pages, and merchant-editable theme sections.
For brands planning a campaign
A campaign could focus on one measurable friction point, such as checkout variant selection or homepage Lighthouse scores, and position custom-section work as something a merchant can keep using after the engagement. The posts give no figures; ask for evidence before making result claims.
A post on Shopify ADA compliance argues that accessibility is about better conversions, not just risk avoidance.
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It points to cleaner code, better navigation, and improved user experience, and claims accessibility fixes often boost performance and SEO as well. It says most stores still treat accessibility as an afterthought and asks builders whether they address it or skip it.
For brands planning a campaign
The post supports an accessibility-focused technical collaboration, such as an audit of navigation, code quality, and UX, with performance and SEO outcomes reported alongside compliance. Its claims that accessibility fixes often improve performance and SEO are not measured; ask for benchmarks before presenting them as results.
Faizan Ahmad's posts name no clients, sponsors, employers, or partner businesses.
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They write as a Shopify developer working on checkout and storefront builds, and one post invites Shopify store owners and agencies to get in touch about theme development, performance work, and custom functionality.
The posts do not state any commercial relationships.
Shopify, Shopify Functions, Checkout Extensions, Remix, Metaobjects, and ADA describe the stack and topics they discuss, not disclosed partnerships.
Faizan Ahmad writes short, practical notes from inside Shopify builds.
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The through-line: better stores come from less friction and cleaner architecture, not more apps.
Start with the checkout post, which explains why growing stores end up with overlapping apps and what that costs them.
Then read the post on conversion friction for practical examples: express checkout picking the wrong variant, slow homepages, test landing pages and theme sections a merchant can edit.
The accessibility and AI posts round out Faizan's perspective on store experience and developer judgement.
The conversational posts often end with a question to other developers, making them peer discussion rather than a course or case-study library.
Both start from the same diagnosis: a Shopify store's problem is usually not how much traffic it gets.
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Abdul Rafay walks through a new store's journey, from the ad click to the landing page, product page, add-to-cart and checkout, asking where drop-off happens and what to inspect at each stage.
The result is a checklist of the same conversion points Faizan Ahmad works on at the build level.
Both write in plain, first-person language for store owners rather than analysts.
Abdul Rafay stays on the marketing side of the funnel, covering ad creative, audience and offer for owners who have just launched and are waiting for their first sales.
Faizan Ahmad moves into implementation: what gets built in the theme and checkout, and which Shopify-native features can replace apps.
For insight into why visitors are not buying, follow Abdul Rafay's posts; for what a developer might change to fix it, follow Faizan's.
Both treat Shopify Functions as the native path for logic that used to sit in older or third-party checkout tooling, and explain the consequences in merchant terms rather than code terms.
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Humayun Khalid's post on the retirement of Shopify Scripts lists what stops working overnight, including volume discounts, shipping rules and payment methods, and points to Shopify Functions as the replacement route—the same ground Faizan Ahmad covers from the architecture side.
Humayun Khalid writes deadline-driven migration alerts, with dated cut-offs, a checklist offer and a named agency behind them.
They cover Magento as well as Shopify, focusing on platform lifecycle risk across commerce stacks.
Faizan Ahmad does not write timetables; the posts weigh trade-offs and ask other developers how they are handling them.
For upgrade deadlines, turn to Humayun Khalid; for whether to consolidate checkout logic, turn to Faizan.
Andrew McComb makes the same argument Faizan Ahmad makes about storefront performance, in almost the same words: most ecommerce brands do not have a traffic problem; they have a speed and conversion problem.
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Andrew traces the cost in lost organic visibility, bounce rate, conversion and ad spend, and treats site speed as a growth lever—matching Faizan's focus on measuring Lighthouse performance and fixing small technical issues before buying more traffic.
Andrew McComb writes at market and agency level, opening posts with vertical data such as beauty market size and online penetration, and closing with audit offers for brands.
Faizan Ahmad writes from the developer's seat, naming the specific features and frameworks in play and addressing other builders.
Read Andrew McComb for the commercial case for performance work and Faizan for what the work involves technically.
Faizan Ahmad’s LinkedIn posts cover Shopify checkout, theme development, performance, accessibility and conversion improvements, making them relevant to a Shopify agency considering a technical collaboration.
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Their profile showed 4,887 followers on October 8, 2026. Before booking, ask for recent campaign-relevant audience results, including documented data on professional roles or seniority.
Faizan Ahmad’s posts do not list sponsorship packages, brand-partnership formats, rates or a media kit.
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They instead describe client services, including fixing express checkout when it selects the wrong variant, improving Lighthouse performance on Shopify homepages, building landing pages for A/B tests and creating theme-editor sections merchants can control.
A March 14 post invites store owners and agencies to connect about theme development, performance optimization or custom functionality.
For a brand or agency, the posts point to a paid development engagement or technical content collaboration rather than a listed sponsor slot.
The LinkedIn profile associated with the posts is the only contact point shown; ask whether it’s the right route for partnership inquiries.
A Shopify agency hiring for checkout and theme development is the strongest fit suggested by Faizan Ahmad's posts.
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The posts read as a working position rather than a sales pitch: growing stores accumulate overlapping third-party checkout apps for features that can now be built natively, and the cost shows up as slower performance, higher monthly fees, harder debugging, and less control over the checkout experience.
Ahmad describes a focus on consolidating that logic into Shopify-native builds using Checkout Extensions, Shopify Functions, Remix and Metaobjects, while stating plainly that apps have their place - so the pitch is a consolidation audit, not a blanket removal of every app.
The agency's other need is theme work, and the conversion post names concrete jobs: fixing express checkout that selects the wrong variant, improving Lighthouse scores on Shopify homepages, building landing pages for A/B tests, and creating custom sections merchants can control in the theme editor.
Accessibility is treated as conversion and performance work rather than a compliance chore, and AI is framed as workflow acceleration bounded by architecture and UX judgement - relevant to an agency that does not want automation oversold.
Two gaps matter before hiring.
No post names a client or reports a measured before-and-after result, so delivery outcomes are asserted rather than demonstrated.
And nothing in the posts shows who the 4,887 LinkedIn followers are or whether they match the agency's market.
Treat fit as strong on stated expertise and scope, unproven on results until the agency asks for work samples and references.
When to choose a specialist
For a consumer brand buying sponsored placements—such as a skincare or apparel launch targeting shoppers in a defined demographic—Faizan Ahmad’s posts point the other way.
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They offer no media kit, rate card, sponsorship package or partnership inquiry route, leaving no commercial format to book.
The five posts are short practitioner notes for developers, store owners and agencies, covering checkout architecture, Lighthouse scores, ADA compliance and where AI fits in a build.
None offers product storytelling, lifestyle content or a consumer-facing format a brand could use in a launch.
Audience information is also limited: the only metric listed is 4,887 LinkedIn followers, with no demographics, engagement rate or past campaign performance.
Follower count alone does not show whether shoppers in a specific category would see or trust a paid post.
Treat a consumer sponsorship as a poor fit; ask for audience data and evidence of past commercial partnerships before considering any campaign requiring measured reach, guaranteed sales uplift or proof of prior partnerships.
A worked campaign example
Brief: a Shopify agency wants a technical content collaboration with a checkout and theme development specialist to generate qualified leads.
Working angle: “The checkout consolidation audit,” a three-part series delivered under the agency’s brand with Faizan Ahmad as named technical author.
Part one, a teardown: take a representative app-stacked checkout (anonymised), inventory every app touching checkout, map where the apps overlap, and show the variant-selection failure that express checkout introduces—the exact bug named in the conversion post.
Part two, the native rebuild: walk through moving a specific function into Checkout Extensions and Shopify Functions with a Remix and Metaobjects setup, and explain which pieces stay on an app and why, matching Ahmad’s position that third-party tools have their place.
Part three, measurement: report homepage Lighthouse scores before and after, the accessibility checks run, and what changed in checkout completion, publishing raw numbers rather than summaries.
Each part closes with a one-page diagnostic checklist the agency can hand to prospects.
The series turns Ahmad’s stated position into inspectable work, gives the agency a reusable sales asset and puts the architecture argument before store owners and agencies already asking the question.
Before committing, ask for two past migration examples, any live client metrics and confirmation that the three deliverables are realistic in the time available.
Choose Abdul Rafay when the agency needs front-line conversion diagnosis rather than checkout code.
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Two posts walk store owners through the sales journey—ad click, store visit, product view, add to cart, checkout—and explain what to inspect at each break, from creative, hook, audience and offer to landing page, speed, mobile experience, product page, price, trust, reviews, shipping costs and payment options.
Aimed at merchants who have launched a store and are waiting for sales, the posts read like working diagnostic scripts.
One ends with a self-sort—no traffic, traffic but no sales, add-to-carts but no purchases—followed by what to check first.
That supports a troubleshooting series for the agency: annotated funnel teardowns, a staged self-diagnosis checklist for prospects, and a lead magnet on finding where the journey breaks.
The second post, on learning by building rather than consuming, supports a founder-story or mentorship angle.
The tradeoff is depth against the agency’s technical brief.
This material offers conversion reasoning for merchants but does not cover Checkout Extensions, Shopify Functions, Remix, theme architecture or performance engineering.
Moving checkout logic off apps or rebuilding theme sections would need another author.
The posts name no clients and report no before-and-after results, so ask for evidence of delivery outcomes.
Choose Humayun Khalid when the campaign needs deadline-driven migration and audit framing rather than build detail.
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The Shopify post centers on a dated platform change—Scripts retiring on 30 June 2026, with editing locked from 15 April—and lists exactly what stops working: buy-one-get-one deals, tiered and volume pricing, location-based shipping logic, and payment methods hidden from certain customers.
It identifies the merchants most at risk as those with setups inherited from an agency and never documented.
The Magento post takes the same approach to a platform upgrade, giving required PHP and database versions, the end-of-life date for an older release, and a recommendation to wait for the first patch and test every extension in staging.
Both close with an offer of a free checklist in exchange for a comment or message—a lead-capture pattern the agency could reuse.
This material suits a migration-readiness or risk-audit series, positioning the agency as the team that inventories what is actually running.
The tradeoff is that these posts cover platform migration and compatibility audits across Shopify and Magento, not checkout extensions or theme development.
They show no Lighthouse work, custom theme sections, Remix or Functions build detail.
Their urgency also depends on specific dates, so the angle needs rewriting once those deadlines pass.
Neither post names a client or reports a measured migration result.
Choose Andrew McComb when the agency wants to pitch performance and conversion at platform level or anchor collaboration in one vertical.
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One post treats site speed as a growth lever, tracing the chain from slow pages to weaker organic visibility, higher bounce rates, lower conversion, wasted ad spend and internal firefighting.
It backs the case with platform-level figures on rendering speed, Google’s fast category, B2B access on all plans and total cost of ownership against competing platforms, then offers a free speed and conversion audit naming the top five changes.
The second post applies the same approach to beauty ecommerce, using market size and online penetration figures to argue that discovery is social-first, conversion is experience-led and loyalty comes from the ecosystem.
It targets brands stuck on a monthly campaign treadmill.
A benchmark-and-audit series or a vertical growth report co-authored with the agency fits this material, especially if the agency sells to beauty or DTC brands.
The tradeoff is distance from implementation.
These posts work at agency and marketing level, not developer level: they offer no checkout code, Functions, Remix or theme build detail.
They complement rather than replace a technical author for the agency’s brief.
The performance and market figures have no cited sources or measurement dates, and the posts show no client results.
The beauty framing also narrows the audience; a general Shopify agency would need to adapt or drop it.
The five short LinkedIn posts at linkedin.com/in/faizan33 cover checkout consolidation with Checkout Extensions and Shopify Functions; conversion friction, including express checkout selecting the wrong variant; clean architecture with Remix and Metaobjects; Shopify ADA compliance; and AI in Shopify development.
The posts are short text updates with no publication dates, and the account was viewed on 8 October 2026.
The comparison is with three other Shopify-focused writers, whose short posts are dated 6 and 7 October 2026, 12 and 14 May 2026, and 24 March and 8 April 2026.
The posts here do not include long-form articles, transcripts, client names, measured before-and-after results, audience demographics, sponsorship material or rate information.
No biography or earlier signature work appears in the posts.
These omissions matter to a hiring or campaign decision.
Claims about Faizan Ahmad's work come from the posts themselves, not from outside verification.
