Eugene Yurtsev
Data AnalystSoftware and ML
LangChain
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software and ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Massachusetts Institute of Technology
PhD, Physics
January 1, 2010 – January 1, 2015
UC Santa Barbara
BS, Physics
January 1, 2006 – January 1, 2008
De Anza College
Physics
January 1, 2004 – January 1, 2008
LangChain
Chief Data Kitten
October 1, 2025 – Present
LangChain
SWE/ML Engineer
April 1, 2023 – Present
Yurtsev
SWE/MLE Consultant
September 1, 2022 – April 1, 2023
Boston, Massachusetts, United States · Hybrid
Kensho Technologies
Software & ML Engineer
September 1, 2015 – May 1, 2022
Cambridge, Massachusetts
Massachusetts Institute of Technology (MIT)
Graduate Teaching Assistant
October 1, 2010 – December 1, 2011
MIT
Massachusetts Institute of Technology (MIT)
Graduate Research Assistant, Gore Lab
October 1, 2009 – August 1, 2015
MIT
Argonne National Laboratory
Research Assistant
January 1, 2009 – May 1, 2009
Greater Chicago Area
INFN
Research Assistant
September 1, 2008 – November 1, 2008
Pisa Area, Italy
UC Santa Barbara
Undergraduate Research Assistant, Hansma Lab
January 1, 2007 – August 1, 2008
University of California, Santa Barbara
Flow Cytometry Tools
June 1, 2013 – Present
A python package for performing high-throughput flow cytometry data analysis
Artificial Intelligence
edX
June 24, 2026 – Present
2H '21 Innovation Excellence Award
MI Technology
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 1
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research and deep technical roles (SWE/ML Engineer). While the 'Flow Cytometry Tools' project aligns with data analysis, the overall experience leans more towards scientific research and machine learning engineering rather than a pure data analyst role. The transition from physics PhD to SWE/ML roles at companies like Kensho and LangChain shows adaptability. However, the direct alignment with a typical 'Data Analyst' role, which often involves business intelligence, reporting, and specific data visualization tools, is not explicitly demonstrated. The 'Chief Data Kitten' role at LangChain is an outlier and lacks context for evaluation.
Soft Skills & Operational Fit
The candidate's extensive academic and research background, including TA roles, suggests strong analytical thinking, problem-solving, and potentially good communication skills. Experience in diverse research environments (MIT, Argonne, INFN, UCSB) indicates adaptability and a collaborative mindset. However, specific soft skill assessments are not available.