Eugene Grois
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.