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Hammad Idrees
@hammad_idrees05
Full Stack Developer building AI powered web apps, SaaS platforms, bug free MVP
Pakistan
Engels, Urdu, Hindi
Over mij
Hi, I'm Hammad, a Full Stack Developer and AI Engineer with 3+ years of experience building AI powered platforms, SaaS applications, and MVPs for real production use. I work with Next.js, React, Node.js, Express, MongoDB, and Python, integrating OpenAI, Claude, Gemini, and Cursor into practical solutions. Whether it's a broken MVP, a slow backend, or a feature that needs to work in production, I find the real problem and fix it properly, not just patch symptoms. I handle every layer myself, frontend, backend, and AI integration, giving you a single point of contact who understands your project
Skills
Hammad Idrees
offline •
Bekijk mijn diensten
Development en MVP
I will fix lovable ai, build replit, bolt new, base44, supabase, saas mvp, claude code
Troubleshooting en verbeteringen
I will fix bugs and issue in ai generated websites, loveable ai , builder io ,bolt new
Portfolio
Werkervaring
Full Stack Developer
Genesys Research Lab • Fulltime
Jun 2025 - Aug 2025 • 2 mos
Project: StreamVibe — Scalable Live Streaming Platform 🔹 Full Stack Development: Built RESTful backend services using Node.js, Express, MongoDB, Redis, and AWS S3, paired with a responsive React frontend styled with Tailwind CSS and animated using Framer Motion. 🔹 Real Time Streaming: Implemented WebRTC and Socket.io for low latency peer to peer broadcasting, with HLS.js integration for smooth real time playback across devices. 🔹 AI Powered Moderation: Built a Python and YOLO based video moderation system achieving 95% detection accuracy on flagged content, backed by automated real time chat filtering. 🔹 Media Processing: Managed video transcoding and adaptive bitrate streaming with FFmpeg, generating multi quality HLS segments, thumbnails, and full VOD playback support. 🔹 Social & Engagement Features: Built real time chat, follow and unfollow systems, categorized stream discovery, and custom playlists. 🔹 Performance & Deployment: Optimized system performance with Redis caching, deployed on AWS, and automated CI/CD pipelines via GitHub Actions. Outcome: Delivered a scalable, production ready live streaming platform combining real time interactivity with AI powered content moderation, built to perform reliably under concurrent, high traffic use.
