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hammad_idrees05

Hammad Idrees

@hammad_idrees05

Full Stack and Mobile Developer, Web, AI and Automation Expert

Pakistan
Inglese, Urdu, Hindi
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Hi, I’m Hammad. I build scalable web applications, AI SaaS platforms, AI chatbots, LLM-based agents, and AI automation systems engineered for performance and real-world production environments. Skilled in modern full stack development (MERN/MEAN) and AI engineering, I work with Next.js, Python, and AI technologies (OpenAI, Claude, Gemini, LangChain, vector databases, and Hugging Face). I deliver end-to-end solutions covering frontend, backend, API & LLM integration and responsive UI/UX. From refining an MVP to building from scratch, I create robust applications designed for real business use.... Continua a leggere

Competenze

h
hammad_idrees05
Hammad Idrees
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Risoluzione dei problemi e miglioramenti
I will fix vibe code errors, bugs and cleanup your loveable, replit, base44, bolt apps
A partire da25 USD / progettoMaggiori dettagli
App mobili IA
I will do ai mobile app, ai agent, and chatbot development as ai app developer
A partire da90 USD / progettoMaggiori dettagli

Portfolio

Esperienza lavorativa

Full Stack Developer

Genesys Research Lab • Full time

Jun 2025 - Aug 2025 • 2 mos

Project: StreamVibe – Scalable Live Streaming Platform Key Responsibilities & Achievements: Full Stack Development: Built RESTful backend services using Node.js, Express, MongoDB, Redis, and AWS S3; developed a responsive React frontend with Tailwind CSS and Framer Motion. Real-Time Streaming: Implemented WebRTC and Socket.io for low-latency peer-to-peer broadcasting; integrated HLS.js for smooth real-time playback. AI-Powered Moderation: Developed Python + YOLO-based video content moderation achieving 95% accuracy; implemented automated chat filtering. Media Processing: Managed video transcoding and adaptive streaming using FFmpeg, generating multi-quality HLS segments, thumbnails, and VOD playback support. Social & Engagement Features: Built real-time chat, follow/unfollow systems, categorized stream discovery, and playlists. Performance Optimization & Deployment: Optimized system performance using Redis caching, AWS deployment, and CI/CD automation via GitHub Actions. Outcome: Delivered a robust, scalable, and production-ready platform capable of handling live streams with AI moderation and real-time interactivity