Building production-ready AI systems that scale. From RAG pipelines to multimodal architectures - turning cutting-edge research into real-world solutions.
I'm an AI/ML Engineer with hands-on experience building and deploying production-ready AI systems that actually work at scale.
My work spans the full AI engineering stack - from designing intelligent RAG pipelines and LangChain agents to shipping containerized microservices with FastAPI and Docker on AWS. I bridge the gap between research and production with a strong focus on performance, reliability, and scalability.
I've worked extensively with vector databases including FAISS, pgvector, and Neo4j for knowledge graph architectures. My multimodal AI work covers vision-language models, CLIP embeddings, and AI-generated recommendations.
class MuhammadHamza:
"""AI/ML Engineer"""
name = "Muhammad Hamza"
role = "AI/ML Engineer"
expertise = [
"RAG Pipelines",
"AI Agents",
"Multimodal AI",
"Backend Engineering",
"Cloud Infrastructure",
]
stack = {
"AI": ["LangChain", "PyTorch"],
"Backend": ["FastAPI", "Docker"],
"Data": ["FAISS", "Neo4j"],
"Cloud": ["AWS EC2", "S3"],
}
def solve(self, problem):
return self.build_ai(problem)
The tools I use to build production AI systems
Production AI systems built for the real world
Clinical decision-support system powered by multimodal retrieval pipelines. Integrates FAISS vector search, Neo4j knowledge graphs, pgvector semantic similarity, and Google's MedGemma model to generate AI-driven treatment recommendations with source citations.
AI-powered podcast processor that converts audio to structured instructions. Features voice-controlled workflow navigation using natural language commands ("rehear", "next", "back") with real-time audio processing and cloud storage.
AI-powered migration platform that uses LangChain RAG pipelines to match skilled tradespeople with employers. Features JWT authentication, role-based access control, and intelligent candidate-employer matching with contextual AI recommendations.
A couples-only private chat app with AI-powered camera detection. The app automatically minimizes whenever a third person is detected in front of the camera, ensuring conversations stay strictly between the two of you. Built for learning, designed for perfect privacy.
Production multimodal recommendation engine combining CLIP image embeddings with MiniLM text embeddings. Dual-index FAISS + Annoy similarity search delivers sub-millisecond retrieval with hybrid ranking across visual and semantic dimensions.
A track record of shipping production AI - from research to deployment
How production AI systems are built - from query to cloud
Extensive competitive programming practice covering DSA, dynamic programming, graphs, trees, and advanced algorithmic challenges.
Participated in 45 LeetCode contests, achieving a top 100 finish in one contest among thousands of global competitors.
Selected as TA for Generative AI course in 6th semester, assisting with transformers, diffusion models, and LLM fine-tuning.
Currently ranked in the top 20 in Pakistan on LeetCode, placing among the best competitive programmers in the country.
Open for full-time roles, freelance projects, and collaborations
Whether you're building the next AI startup, scaling production systems, or solving complex ML challenges - I'd love to hear from you.