Muhammad Jameel K.

Your AI project deserves more than a model that never ships. Most clients who find me have the same story: they hired an AI developer, got a prototype, and then spent weeks trying to figure out how to turn it into an actual product. That's not a skill gap; it's a scope gap. They got AI, not a solution. What I actually build: Full AI systems. From the model logic to a working product your users can open in a browser. That means LLM fine-tuning, RAG pipelines, and AI agent architecture — but also the React frontend, Flask backend, database layer, authentication, and full deployment. You don't need to hire a separate developer to productionize what I build. I handle the whole thing. I'm a Top Rated full-stack AI engineer with deep experience across three areas that most freelancers keep separate. Applied AI & LLM Engineering I fine-tune open-source LLMs (LLaMA, Mistral) and commercial models for domain-specific tasks. I design RAG systems that let your product answer questions from your own documents accurately. I build classical and deep learning pipelines for NLP, computer vision, time-series forecasting, and OCR — and I take them all the way through training, evaluation, and deployment. Tools I use daily: LangChain, Hugging Face Transformers, PyTorch, OpenAI APIs, scikit-learn, FAISS, Pinecone. AI Agents & Automation Systems I design multi-step AI agents and workflow automations that run without human involvement. Voice AI pipelines using Twilio and Telnyx. CRM and outreach automation. n8n workflows with custom business logic, webhooks, and third-party integrations. Conversational AI agents for real business operations. These aren't demos — clients run them in production. Full-Stack AI Product Engineering This is where I stand apart. I architect and ship complete products: SaaS MVPs, AI-powered web apps, analytics dashboards, document intelligence tools, procurement systems. React/Vite on the frontend. Flask/Python on the backend. Authentication, databases, dashboards, API integrations — all of it. What I've shipped: -- Voice AI outreach pipeline (Twilio + Ultravox) that handles inbound calls without a human agent --RAG knowledge retrieval system for document Q&A — PDFs in, accurate answers out --Full SaaS MVP: React frontend, Flask backend, auth system, AI features, deployed end-to-end --n8n automation workflows connecting CRMs, webhooks, and APIs, replacing hours of manual work --LLM fine-tuning pipeline (LoRA/QLoRA) for domain-specific tasks on open-source models --OCR + table extraction system pulling structured data from messy, unstructured PDFs --machine & deep learning-based computer vision application and time-series forecasting model for a production analytics platform Ready to build? Send me a message and tell me what you're trying to build or what's been stuck. I'll tell you exactly how I'd approach it and whether I'm the right fit. No fluff, just a straight answer.