Hammad Tariq
I build AI-powered MVPs for startups (React, Node, AWS)
New to Contra
Hammad is ready for their next project!
Alma Collective, a fitness booking platform for the Greek market, was stuck: half-built by a previous developer, unstable, and nowhere near launch-ready.
I took over the codebase, stabilized it, completed the missing core flows, and carried it to public launch across web and mobile (React Native).
What shipped:
User app: discover and filter classes (yoga, Pilates, dance), book and pay per session, QR check-in on arrival
Partner portal: venue listings, class scheduling, payouts, subscriptions
Payments: Stripe with Apple Pay and Google Pay, pay-as-you-go and subscriptions
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BioSonic is an AI-driven platform for analyzing bat acoustics used by research teams across Europe. I built the full web portal from scratch and transformed it into a high-performance, scalable system capable of handling multi-terabyte datasets.
My role covered full-stack development, infrastructure optimization, and performance engineering. I optimized Supabase RPCs and SQL queries, achieving 5× faster data retrieval and 240% faster file loading, while stabilizing AWS services to eliminate downtime. I also enhanced the SQS-based job distribution system for parallel data processing and implemented EC2 monitoring tools for better reliability and proactive scaling.
This project showcases my ability to own complex systems end-to-end, improve large-scale performance, and deliver production-ready solutions under tight deadlines, all while maintaining clear communication and client satisfaction.
“Hammad created our web portal from nothing in 3 months, optimized it beyond expectations, and always went the extra mile.” — Josef Carlson
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Social Followers is an e-commerce platform built to sell social media marketing packages for Instagram, TikTok, YouTube, and Facebook. The business needed a fast, low-risk way to validate demand and start taking orders before investing in full supplier automation. I delivered a focused first release with a service catalog, guest and registered-user carts, price-locked checkout, Stripe payments, order tracking, an admin fulfillment dashboard, wallet refunds, and queued email notifications. The system is also structured for future integration with external service providers.
I built the platform with Next.js, React, TypeScript, PostgreSQL, Drizzle ORM, Stripe, Tailwind CSS, and Jest. Verified Stripe webhooks are the source of truth for payments, while database transactions and idempotency controls prevent duplicate payment attempts and orders. Item-level state management supports partial fulfillment and automatic wallet credits when a service fails. I also implemented JWT authentication, role-based access, email verification, password recovery, rate limiting, localization, responsive interfaces, and automated tests for the main purchase flow and edge cases.
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Most property websites only collect a name and phone number. For Zameendar Enterprises, I built an AI property assistant connected to the owner’s WhatsApp Business number and embedded on the company website.
Buyers, investors, and sellers can discuss their requirements in English or Roman Urdu through either channel. The assistant remembers context, collects details such as budget, location, property type, and payment preference, then suggests relevant properties using the company’s listings and uploaded documents.
This helps the business qualify leads through WhatsApp, where many customers already prefer to communicate, while keeping the website useful as another sales channel. A secure admin dashboard lets the team review conversations, manage leads, add notes, upload documents, test AI responses, and inspect system logs.
I built the platform with Next.js, React, TypeScript, PostgreSQL, LangGraph, OpenAI, pgvector, Tailwind CSS, and Auth.js, combining WhatsApp automation, conversational AI, property search, and lead management in one business system.
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