I'm an AI/ML practitioner who enjoys bridging research insights with practical solutions. My focus spans predictive modeling, autonomous systems, and causal inference - always with an eye toward real-world impact.Throughout my career in tech, I've developed production ML systems and explored emerging AI technologies. These days, I'm particularly interested in generative AI, working on everything from efficient model fine-tuning to building reliable autonomous agent systems.My background combines actuarial science, software engineering, and data science, giving me a unique perspective on both technical implementation and business value. I believe in staying current with AI advancements while ensuring solutions remain practical and scalable.Core technologies: LLMs, Transformer architectures, causal inference, Bayesian inference, PyTorch, PySpark. Always happy to connect and discuss these topics!