I'm a Computer Science graduate in Islamabad, building things at the intersection of full-stack engineering, AI, and DevOps — equally at home in a React codebase, a Kubernetes cluster, or a TensorFlow notebook.
I craft AI-integrated web applications, design distributed systems, and build production-grade pipelines using Docker, Kubernetes, and modern observability tooling. The goal is always the same: ship calm, considered software.
Three semesters as a Teaching Assistant for COAL, DLD, and IICT — turning compiler errors into 'aha' moments, and late-night labs into shared wins.
Open to full-time roles and select freelance — full-stack product work, AI engineering, or platform / DevOps. Remote, on-site, or somewhere in between.
A few of the systems I've designed and shipped.
Federated Learning Smart-Home Intrusion Detection — AI-powered hybrid smart home security using outdoor cameras and indoor mmWave radar tracking with federated learning for privacy-preserving real-time intrusion detection. Features known/unknown person ID, wall-climbing detection, and weapon detection with instant mobile alerts.
Natural Language to SQL Assistant — Full-stack NL2SQL app with a FastAPI backend and React UI for chat-based querying. Integrates a LoRA-fine-tuned Qwen2.5-Coder model for schema-aware SQL generation with dangerous query detection and confirmation before execution.
AI-Powered Mock Interview Platform — Secure AI-powered interview preparation platform with resume analysis, personalized interview generation, and session tracking. Leverages Claude 3.5 Sonnet for dynamic mock interviews and performance insights with real-time analytics dashboards.
AI-Powered Emergency Blood Response System — Production-ready healthcare platform enabling real-time blood request management, hospital inventory tracking, and secure donor-patient coordination with AI-based urgency assessment and geospatial donor matching using PostGIS.
Neural network race-car driver — AI controller for the TORCS simulator combining a neural network with a rule-based fallback system.
Tools and technologies I reach for to ship great products.
A focused, four-step rhythm that keeps projects clear, calm, and consistently moving forward.
Deep research into goals, users, and constraints. I map the journey and define clear success signals before any build starts.
Designing data models, API contracts, and component systems that scale cleanly and stay maintainable as the product grows.
Shipping clean, typed code with focus on UX polish, performance, and reliability. Iteration happens fast and visibly.
Testing, optimization, and smooth release. CI/CD, monitoring, and handoff so the product stays healthy long-term.
Or maybe you just need someone to talk to. Either way I'm here, and on your terms. Email me, send a message, or grab my resume.
