Hey, I’m Jyoti 👋 — an AI Engineer with 2+ years of experience building production-grade AI, GenAI, and Agentic AI systems at UBS. I’ve worked across the complete lifecycle of enterprise AI products—from designing and implementing AI agents and LLM workflows to building RAG systems, APIs, full-stack applications, automation pipelines, observability, testing, and production deployment. I independently own key AI initiatives and have delivered automation with up to 85–90% reduction in manual effort, 80% improvement in outcomes, and 60%+ API performance improvement, contributing to projects with significant business impact and estimated annual savings of $350K+. I’m especially passionate about GenAI, Agentic AI, LangChain, LangGraph, Azure OpenAI, RAG, Python, FastAPI, and building AI systems that actually work in production—not just demos. I can help with: • Breaking into AI/GenAI roles • Resume and project reviews for AI Engineers • LangChain, LangGraph, RAG and AI Agents • Building production-oriented AI projects • Python, APIs and full-stack AI applications • Interview preparation and AI Engineer career guidance 🏆 2× UBS Hackathon Winner | 1st Institute Rank – CodeKaze | 800+ DSA Problems Solved | Microsoft Azure Certified (AZ900, AI900) | Saïd Business School, University of Oxford Certified (Generative and Agentic AI) If you're trying to build a career in AI or move from software engineering into GenAI/Agentic AI, I’d be happy to share what I’ve learned. 🚀