Taha Y.

AI/LLM Engineer | RAG, ML APIs, Chatbots | Senior Full Stack Top Rated

I build production AI features—LLM apps, RAG systems, and ML inference APIs—on top of solid full-stack engineering. 8+ years shipping scalable systems, now focused on helping companies add real, working AI to their products. Most "AI developers" can prototype. I ship systems that hold up in production—with the backend, scaling, and DevOps to back them. ⭐ What I build for clients: - LLM-powered features — chatbots, RAG over your own data, document/report generation, AI automation - Multi-provider AI pipelines using OpenAI, Anthropic (Claude), and Google Vertex AI (Gemini) - ML models & inference APIs — classification, fraud detection, predictive analytics (FastAPI, scikit-learn, TensorFlow) - Full-stack apps around the AI — Node.js, Laravel, React/Next.js, PostgreSQL, Docker, AWS/GCP ⭐ Recent work: - Built a healthcare AI platform with multi-provider LLM report generation (Anthropic + Vertex AI) and ML classification on 700+ subject clinical data - Deployed scalable ML inference APIs with FastAPI + Docker on GCP - Fine-tuned a medical image classifier to 96.1% accuracy; built a fraud-detection pipeline hitting 0.97 precision on highly imbalanced data - Scaled backends to 10k+ concurrent users and cut API latency by 40–50% ⭐ Why clients keep me on: - Top Rated with 100% Job Success — I deliver, communicate clearly, and hit deadlines - Honest technical guidance — I tell you what AI can and can't do for your case, not hype - Clean, maintainable, production-grade code (SOLID, DRY) - I handle the whole stack, so your AI feature actually ships and scales Thinking about adding AI to your product but not sure where to start? Message me with what you're building—I'll give you a straight answer on whether it's feasible, how I'd approach it, and a rough roadmap.