Professional Summary
I'm a Principal Data Scientist and AI Engineer with 9+ years of experience building and scaling production‑grade ML and GenAI systems in finance and marketing. I have a proven record of delivering multi‑million‑dollar impact through predictive modeling, software applications, distributed systems, RAG‑based AI assistants, and multi‑agentic systems. As a technical leader, I translate complex AI into measurable business outcomes while mentoring teams and partnering closely with senior stakeholders.
I’ve led cross‑functional efforts across product, marketing, and engineering to build petabyte‑scale data pipelines, launch enterprise‑ready AI systems, and automate complex finance and marketing workflows in high‑stakes environments at Capital One, Discover Financial Services, and quantitative research labs, driving meaningful improvements in both customer and stakeholder satisfaction.
My core toolbox includes Python, SQL, PyTorch, Spark, and cloud‑native applications on AWS/GCP, along with deep expertise in ML, GenAI, and statistical inference - spanning research, experimentation, and regulated production. What sets me apart is how I design scalable systems around this stack: aligning cross‑functional teams through clear ownership, disciplined communication cadences, and code quality and documentation that make complex systems understandable and maintainable.
If you’re working on similar problems, or are curious about what it takes to bring ML and GenAI into production at scale, I’d be happy to connect. Feel free to reach out to share ideas, compare approaches, or explore potential collaborations.