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AI Technology Leader | PhD AI/ML Engineer & Startup Builder | Agentic AI, LLM Systems, Retrieval, NLP, Applied AI R&D
I am a PhD AI/ML engineer, AI technology leader, and startup builder with 15+ years of experience delivering high-impact production AI systems from concept to scale. My expertise spans core generative and agentic architectures — including retrieval, ranking, multimodal AI, and NLP — applied directly across high-stakes domains like finance, law, and healthcare. My recent work bridges the gap between advanced research and reliable enterprise execution. I specialize in architecting multi-agent workflows, GraphRAG systems, and hybrid retrieval/ranking pipelines. I apply these engines to solve high-complexity challenges in document intelligence, clinical explanation, litigation analysis, as well as financial modeling and macroeconomic forecasting. I partner with organizations across direct employment, advisory, and strategic consulting to transform ambiguous, early-stage concepts into fully deployed, production AI systems. I combine rigorous technical depth with hands-on production engineering, systems-level judgment, and an entrepreneurial focus on building AI products that create entirely new capabilities.
University of Illinois Urbana-Champaign
Doctor of Philosophy - PhD, Computer Science
May 1, 2002 – August 1, 2006
Flexday AI
Principal Data Scientist / AI Engineer
October 1, 2022 – Present
Miami, Florida, United States
Amida Technology Solutions
Lead Data Scientist and Machine Learning Engineer
August 1, 2020 – September 1, 2022
Washington, D.C., United States
HSBC
Senior Data Scientist - Lead Engineer, AI Innovation, Global Banking and Markets
August 1, 2018 – July 1, 2020
New York City Metropolitan Area
Bank of America
Lead Data Scientist, Global Technology Research and Development
May 1, 2017 – July 1, 2018
New York City Metropolitan Area
Schonfeld Strategic Advisors
Algorithmic Trading Portfolio Manager / Senior Quantitative Researcher
June 1, 2015 – May 1, 2017
New York City Metropolitan Area
Goldman Sachs
Senior Quantitative Researcher
April 1, 2013 – May 1, 2015
New York City Metropolitan Area
Senior Research Scientist
April 1, 2011 – March 1, 2013
New York City Metropolitan Area
Senior Research Engineer
May 1, 2009 – March 1, 2011
Mountain View, CA
Research Engineer
August 1, 2007 – May 1, 2009
Mountain View, CA
Cultural Fit Analysis
The candidate demonstrates an exceptional cultural fit for an ML Engineer role, particularly in an innovative and fast-paced environment. Their experience spans multiple high-profile companies known for cutting-edge AI/ML research and development. The breadth of projects, from financial markets to healthcare and conversational AI, showcases versatility and a willingness to tackle diverse challenges. The continuous progression into more senior and leadership-oriented roles indicates ambition and a drive for impact, aligning well with a culture that values technical excellence and leadership.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Principal, Lead, Senior Research Scientist/Engineer) at major tech and financial companies (Google, Facebook, Goldman Sachs, HSBC) suggests strong leadership, problem-solving, and strategic thinking abilities. The descriptions highlight full-cycle technical leadership and turning concepts into deployed systems, indicating a strong operational fit for driving complex AI initiatives. The diversity of projects implies adaptability and a collaborative mindset.