Muneeb U.

I’m an AI/ML engineer and full-stack developer who builds production AI systems end-to-end. I specialize in turning messy, unstructured data into reliable product features by combining strong backend engineering with modern NLP/LLM workflows. Over the past few years, I’ve worked across AI startups and product teams, including Civita AI (AI Developer / DevOps / Backend) and AICHITECT (Director of Engineering), where I’ve built and shipped AI-powered systems on real infrastructure. What I do best: 1. LLM + NLP systems in production: RAG pipelines, document intelligence, structured extraction, and agentic workflows using tools like LangChain, LlamaIndex, and vector databases (Weaviate, Pinecone). 2. Backend + full-stack delivery: Building clean APIs and data models with Python (Django/Flask) and Node.js, plus frontends with React/Next.js when needed. 3. Cloud + DevOps: I’m very comfortable on AWS (EC2, DynamoDB, Cognito, Amplify, ECR, and more) and also have solid experience with GCP, Docker, and infra tooling like Terraform/Ansible. 4. Performance and reliability: Cost-aware architecture, scalable pipelines, and systems designed for real users, not demos. Open source & community: I’m also an active open-source contributor, including contributions to LangChain.js and FAISS-related tooling, and I publish technical work and demos through my blog and Hugging Face. If you’re building an AI product and need someone who can own the full stack, move fast, and still keep the engineering clean and production-ready, I can help.