Hey there!
I am Fawaz, an AI/ML-focused Computer Science undergraduate building applied AI products, LLM-powered systems, and intelligent software infrastructure. Experienced in developing production-ready AI applications with persistent memory, agentic workflows, automation pipelines, real-time synchronization, and scalable backend systems.
My work centers on bridge building: translating cutting-edge machine learning research and language models into concrete, robust software systems that people love using. Currently, I study at SRM AP, collaborate with researcher groups, and build real-time solutions for client workflows.
Designing custom agentic workflows, semantic caching layers, and RAG architectures that provide language models with long-term recall and persistent state, while maintaining latency thresholds.
Creating robust real-time software infrastructure. Experienced with Supabase, PostgreSQL, real-time synchronization layers, WebRTC voice/data channels, and scalable authentication pipelines.
Training and evaluating predictive models with PyTorch and Scikit-learn. Optimizing inference code, mesh connectivity network strategies (e.g. BLE mesh, offline processing), and containerized deployments.