Hamza Qureshi
Senior Full Stack AI Engineer
Summary
Most AI projects never make it past the demo stage. I build the ones that do.
Full Stack AI Engineer with 5+ years building production AI systems that scale. Specialized in multi-agent architectures, RAG pipelines, and agentic AI using LangChain, LangGraph, FastAPI, and Python. Full stack expertise across TypeScript, Next.js, PostgreSQL, Docker, and AWS.
Shipped systems in production: a voice AI language platform with sub-2s latency, an AI hiring platform serving 12,000+ users with 450+ placements, and a HIPAA-compliant multi-agent financial assistant integrating healthcare and billing systems. Led backend architecture for an AI workplace mediation platform using LangGraph, pgvector, and Redis.
AWS Certified Generative AI Developer and Machine Learning Engineer. Experienced across the full AI product lifecycle: LLM orchestration, vector search, multi-agent supervisor patterns, API design, and cloud deployment. Open to remote roles where I can own architecture end to end.
Experience
Lead AI Engineer
Evren AI
Led development of 15+ production AI systems integrating LLM-powered agents, chatbots, and agentic reasoning workflows into scalable cloud applications. Engineered backend infrastructure using Python, FastAPI, PostgreSQL, Kafka, and Docker, and built dynamic frontends with Next.js, React, and TypeScript. Automated complex business workflows using N8N and optimized CI/CD pipelines on AWS for reliable, production-ready deployments.
AI Research Scientist
DevHexa
Worked as a contract AI Research Scientist focused on applied research for production-oriented AI systems. Conducted experiments, evaluated model and workflow performance, explored LLM and ML approaches for real-world use cases, and translated research findings into practical implementation guidance for product and engineering teams.
Supported work across areas such as model evaluation, prompt and system design, data analysis, and AI workflow optimization. The role required balancing research rigor with deployment constraints, documentation, and clear communication with technical and non-technical stakeholders.
Full Stack AI Engineer
Vareya
Delivered full stack and AI solutions for international clients across SaaS and business platforms. Built and deployed custom GPT-powered applications and REST APIs using FastAPI, Docker, and PostgreSQL. Orchestrated cloud deployments on AWS with Docker Compose and automated client workflows using N8N. Progressed rapidly from frontend delivery to owning end-to-end AI product development.
Machine Learning Engineer
Freelancing
Education
Virtual University of Pakistan
Bachelor of Computer Science / Artificial Intelligence & Machine Learning, Software Engineering & Systems Design, Web & Distributed Applications
Completed a Bachelor of Computer Science with a focus on software engineering and applied AI. Coursework and independent projects centered on building production-grade systems, including a facial recognition attendance platform (FastAPI, dlib, MediaPipe, 90%+ accuracy) developed as a final year project. Developed strong foundations in data structures, algorithms, distributed systems, and machine learning, later applied directly to full stack and agentic AI engineering roles.
Skills
