Catalog: AI fashion with virtual try-on
Try-on clips rendered on the shopper's own selfie, with a one-shot fallback when a model refuses. The catalog grows from what shoppers search for.
- Claude
- Gemini
- Seedance
- Flutter
- Shopify
I'm Samir Maikap, a senior product engineer. Since 2017 I've shipped 49 web, mobile and AI products for US founders, from Laravel platforms and React Native apps to Next.js products with LLM features. I use AI coding agents where they save time, and I review, test and own everything that ships.
Three projects that show my range: AI on mobile, an eight-year SaaS line for one client, and a product I built and run. Code walkthrough on request.
Try-on clips rendered on the shopper's own selfie, with a one-shot fallback when a model refuses. The catalog grows from what shoppers search for.
Lean tools in 2018, then LeadershipFITT with an AI coach grounded in each user's results, now FITTWorks.
Capture decisions from web, email and Slack, frame and forecast them, follow up on outcomes and review.
Companion app for the Bartesian cocktail machine: capsules, recipes, shop, orders, rewards and subscriptions, across web and IoT.
Field app for logging wildlife sightings with photos, GPS location and maps that work offline.
Slack-native team checklists running on Claude Haiku.
Mac menu bar app that cleans up what AI coding agents leave running.
No duplicate posts on retries, an MCP server for AI agents, tested tenant isolation.
AI assistant that answers from a company's Google Drive and cites its sources.
49 projects since 2017. Laravel and Vue platforms, React Native and Flutter apps, Shopify stores and AI products, on one timeline you can filter.
See all 49 projectsNine years of owning products end to end for US founders: spec, data model, API, web and mobile apps, and the deploy.
Three products with the founders: Catalog, Feather and The Quest.
Three generations of one product line, same client.
B.Tech, Computer ScienceWest Bengal University of Technology · 2016
Nine years of tools, with the year I started using each one and the projects where I used it.
A debrief sums up what happened after a decision. If the model invents a single line, nobody trusts the ledger again. This is how I measured that risk and fixed it.
Scores count the debrief lines the model showed. Read the full write-up →
Three ways to work together. Each starts with a written scope, so you know what you're getting before any code.
Your ideaOne paragraph is enough to get started.
A deadlineA real date lets me plan the scope around it.
A budget rangeA rough range is fine. I'll tell you what fits inside it.
Weekly planningOne call a week with you. I own the rest, all the way to production.
A live productWeb, iOS or Android, live on your domain or in the App Store.
All the source codeIn your GitHub account from the very first commit.
Automated testsLint, type checks and tests run in CI on every change.
AI evalsAI output is scored against a bar set before the run.
A web or mobile product from idea to launch, with AI where it earns its place.
RAG search, agents, MCP servers and vision, added to what you have.
One engineer who owns your product line for years.
Previously we had worked unsuccessfully with 8 other app developers… Samir took the initiative with many of the UX issues… [and] was available any time we needed him.
Send your idea, your deadline and a rough budget.
maikap.samir@gmail.comAvailable now for full-time remote roles, with 9am–1pm ET overlap. Code walkthrough on request.