Eugene Lee
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
Intern at Logos Research
There isn't a good way to summarize my career, but it's mostly been technical in the realm of machine learning, and my education is primarily focused on applied mathematics. I like spending my free time learning new frameworks (whether it be mathematical or technical) and exploring bleeding edge problems. My technical belief(s) - LISP is god, and Python is Jesus. - LLMs are great, but are only as good as the user. - Innovation will happen in the order of DeFi -> AGI -> Intelligent Robots (optimistic). But let's be real, it will probably look something like DeFi -> Industrial Robots. DeFi is inevitable.
Imperial College London
Master of Science - MS, Mathematics and Finance
January 1, 2025 – January 1, 2026
Brown University
Bachelor of Science - BS, Applied Mathematics
January 1, 2011 – January 1, 2015
Brown University
Bachelor of Arts - BA, Mathematics
January 1, 2011 – January 1, 2015
Logos Research
Intern
April 1, 2026 – Present
London Area, United Kingdom · Hybrid
CNAI
Interim Chief Executive Officer
July 1, 2024 – October 1, 2024
Seoul, South Korea · On-site
CNAI
Senior Machine Learning Engineer
September 1, 2023 – June 1, 2024
Seoul, South Korea · On-site
MARO STUDIO.Inc
Growth Marketer
February 1, 2023 – May 1, 2023
Seoul, South Korea · On-site
Korea University
Researcher
January 1, 2021 – January 1, 2022
LiftIgniter
Machine Learning Engineer
October 1, 2015 – November 1, 2019
San Francisco Bay Area · On-site
AURORA WORLD LTD.
Game Design Intern
June 1, 2014 – August 1, 2014
Seoul, Seoul, South Korea · On-site
KAIST Network Computing Laboratory
Research Intern
July 1, 2010 – September 1, 2010
Daejeon Metropolitan Area · On-site
Deep Learning Nanodegree
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse background, including roles in ML engineering, research, growth marketing, and interim CEO, suggests adaptability and a broad range of interests. The experience with startups (Logos Research, CNAI, LiftIgniter) and M&A indicates comfort with dynamic environments. However, the descriptions are very brief, making it difficult to fully assess cultural alignment beyond a general adaptability.
Soft Skills & Operational Fit
The candidate's experience as an Interim CEO and managing government-funded research projects suggests leadership, strategic thinking, and project management skills. The description of firing 80% of the workforce and company exit through M&A indicates a results-oriented and decisive approach, though the brevity of descriptions makes it hard to assess collaboration style or detailed operational fit.