About Me

I'm a Machine Learning Scientist and AI Engineer with 11+ years of experience building intelligent systems that solve complex, real-world problems. My expertise lies at the intersection of machine learning, large-scale data systems, personalization, and product strategy, with a focus on turning research ideas into production systems that create measurable business and user impact.

My core areas of expertise include recommendation systems, personalization, search and ranking, experimentation, and real-time decision-making. I've designed and deployed end-to-end ML systems spanning data pipelines, feature engineering, model development, online inference, experimentation, and continuous optimization. I particularly enjoy problems where scale, ambiguity, and user experience intersect.

More recently, I've been expanding my work into Generative AI, foundation models, and agentic systems. I'm interested in building AI applications that can reason, retrieve knowledge, use tools, and orchestrate multiple capabilities to solve complex tasks. I've been exploring LLMs, RAG, LangGraph, tool calling, vector databases, and modern AI orchestration techniques, with a focus on practical enterprise applications.

I hold a Ph.D. in Computer Science and combine deep technical expertise with a strong product mindset. I enjoy collaborating with cross-functional teams, mentoring engineers and data scientists, and translating ambiguous business problems into scalable AI solutions.

I'm particularly interested in how foundation models and agentic AI are changing personalization and intelligent decision-making. I regularly explore these ideas through research, hands-on projects, and technical writing, and enjoy sharing practical perspectives on building ML and AI systems in the real world.

Outside of work, I enjoy spending time with my son, cooking, playing guitar, singing, playing PS5 games, and exploring new technologies. I also share some of my guitar covers on my YouTube channel.

I'm also open to one-on-one consultations and would be happy to share feedback and perspectives on questions around careers in applied AI and machine learning, including career growth, technical direction, and navigating the transition into AI-focused roles.