Muhammad U.

Top Rated AI/ML Developer & Full-Stack Engineer | Forward Deployed Dev

I build the AI model and ship the app around it so you get a product customers can actually use, not a demo that dies in a notebook. That gap is where most AI projects stall. The ML person builds something clever that never makes it into a real interface. The app developer builds a slick UI with no real intelligence behind it. I do both ends, which means one person owns the whole thing and nothing gets lost in the handoff. I'm Top Rated with a 100% Job Success score across 36 projects every client so far has finished the job happy, and I'd like to keep that streak going with yours. I mostly work with startups and founders who have an AI idea and need it turned into a production-ready web or mobile app: scalable, secure, and simple enough for real users. Typical projects look like: - AI-powered SaaS products and MVPs, from first sketch to deployed app - LLM apps and AI agents RAG pipelines, chatbots, OpenAI and Claude integrations - Custom ML models for NLP, computer vision, and prediction - Cross-platform mobile apps with AI built in, not bolted on - Full-stack web apps with clean architecture that won't buckle as you grow What you can expect working with me: I ship to production, not just to a demo. You get one point of contact for the model and the app. And I keep updates clear and jargon-free, so you always know exactly where the build stands. The stack: Python, PyTorch and TensorFlow for the ML side. OpenAI (GPT-4/5), Claude, RAG, fine-tuning with LoRA/QLoRA, and vector databases like Pinecone and Weaviate for the LLM work. LangChain, LangGraph, and CrewAI for agents. React, Next.js, Node.js, Django, and FastAPI on web; React Native and Flutter on mobile. Docker, AWS, and MLOps to keep it all running. If you've got an AI idea and want it built by someone who can handle the model and the product, send me a note about what you're working on. I'll reply with how I'd actually approach it no generic pitch.