I am a software engineer focused on applied AI research and engineering. My work centers on building, evaluating, and deploying modern machine learning systems particularly large language models and generative AI. I have experience across the stack: training models, constructing data pipelines, and turning prototypes into usable tools and services.
My current focus is on LLMs, NLP, and model evaluation, including preference modeling and practical deployment constraints such as latency, reliability, and data quality. I’m most interested in the boundary between research and engineering: taking ideas that barely work in papers and making them work in the real world.
Over the next few years, I am aiming to specialize in R&D roles that involve LLM alignment, evaluation, agentic systems, and reinforcement learning from human feedback. I’m not trying to “play” with AI I’m trying to build systems that actually work at scale