I’m a Lead Applied Scientist with 9+ years of experience building and deploying production-grade AI systems, currently working on Generative AI, LLM post-training, and multi-agent architectures. My work focuses on taking AI from demos to real systems — scalable, reliable, and actually useful in production. I’ve led end-to-end development of LLM pipelines (SFT, GRPO), evaluation frameworks, and agent orchestration systems used in enterprise workflows. Along the way, I’ve built: * Real-time AI copilots for sales and customer interactions * Large-scale RAG-based conversational systems * Multi-agent architectures with planning, memory, and tool use * Evaluation and robustness frameworks for LLMs I’m especially interested in helping software engineers adapt to the AI shift. Whether you're: * Trying to move from SWE → AI/ML * Figuring out how to use LLMs in your current role * Confused by the gap between tutorials and real-world systems * Looking to build practical, production-ready GenAI projects —I can offer practical, no-fluff guidance based on what actually works in industry. Happy to chat about career transitions, system design, or hands-on GenAI problem solving.