My background is a mix of systems engineering and applied machine learning. I’ve worked with PyTorch, Caffe, ML.NET, and DataRobo across research and production environments. Recent projects include LLM fine-tuning, real-time chatbots, AI-driven quality inspection bots, and logistics optimization tools. I’ve also contributed to delivery robot workflows and AI logistics planning systems where reliability matters more than hype. Languages like C++, Rust, Go, and Haskell come into play when performance and correctness are critical. I design AI systems with long-term maintenance in mind.