I’m a Lead AI Engineer at TransUnion, working at the intersection of Credit Risk, Fraud Analytics, Generative AI and Agentic AI Over the last 8.5+ years, I’ve built and deployed ML and AI systems across organizations like TransUnion, Chubb, IDFC FIRST Bank and Lloyd's Register - helping financial institutions improve underwriting, detect fraud, and drive smarter risk decisions. My work spans Langgraph, Crew AI, Langchain, RAG, LangSmith, MCP, A2A, Transformers (BERT, Canine, SetFit), LLMs (GPT, Gemini, Claude), and production-grade ML systems built on platforms like Vertex AI and Databricks. I have extensive experience in GenAI and production grade agentic systems, exploring how LLMs and Agentic Systems can augment decision-making in high-stakes domains like lending and insurance. I combine deep technical expertise with business context-so the systems I build don’t just work, they create measurable impact. I help professionals with: 1. Breaking into Data Science / AI roles (Traditional and GenAI - Agentic AI) 2.Transitioning into high-impact domains like Credit Risk & FinTech 3. Cracking interviews (ML, Agentic AI case studies, Agentic system design and production grade cloud architecture) 4. Understanding how real-world ML/GenAI/Agentic AI systems are built and deployed I don’t teach theory. I help you think like a Data Scientist / AI Engineer working on real production problems If you’re looking for practical, no-fluff guidance grounded in real industry experience, feel free to book a session.