Muhammad Zain

I am an AI Engineer with hands-on experience building practical Generative AI and LLM-based solutions across healthcare, legal, recruitment, and marketing domains. I specialize in designing reliable AI workflows, improving model accuracy, and developing production-ready features that deliver real business value.

My experience includes fine-tuning LLMs (QLoRA, Unsloth), implementing RAG pipelines, building chatbots and multi-step AI agents, and working with vector databases such as Pinecone, Qdrant, and PGVector. I have strong backend development skills with Python, FastAPI, Django, and SQLAlchemy, and I routinely integrate AI models with robust API-driven systems.

I’ve worked on projects like medical diagnosis assistants, legal document generation tools, automated recruitment chatbots, and SEO/marketing AI agents. I focus on creating stable, efficient, and safe AI solutions tailored to domain-specific needs.

Alongside AI engineering, I bring experience with cloud services (AWS, GCP), Docker, Git, and modern LLMOps/MLOps practices to ensure smooth deployment and scalability. I’m currently pursuing a Master’s in Computer Science at the University of Tartu to further deepen my expertise in AI.

If you’re looking for someone who can turn LLM ideas into reliable, well-engineered AI products, I’d be happy to help.