h
hammad_idrees05

Hammad Idrees

@hammad_idrees05

Full Stack Developer building AI powered web apps, SaaS platforms, bug free MVP

Pakistán
Inglés, Urdu, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
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... Lee más

Habilidades

h
hammad_idrees05
Hammad Idrees
desconectado • 

Revisa mis servicios

Desarrollo y MVP
I will fix lovable ai, build replit, bolt new, base44, supabase, saas mvp, claude code
DeUSD 25 / proyectoMás información
Solución de problemas y mejoras
I will fix bugs and issue in ai generated websites, loveable ai , builder io ,bolt new
DeUSD 10 / proyectoMás información

Porfolio

Experiencia laboral

Full Stack Developer

Genesys Research Lab • Tiempo completo

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.