
AI Research Engineer
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Assessing your cultural and operational fit
University of Oxford
Master of Science (MSc), Mathematical Modelling and Scientific Computing
January 1, 2015 – January 1, 2016
Columbia University
Bachelor of Science, Applied Mathematics
January 1, 2011 – January 1, 2014
Isomorphic Labs
Senior AI Research Engineer
December 1, 2023 – July 1, 2025
Greater London
Reverie Labs
ML Platform Lead
November 1, 2021 – July 1, 2023
Reverie Labs
Senior Machine Learning Engineer
February 1, 2021 – July 1, 2023
Reverie Labs
Machine Learning Engineer
October 1, 2018 – February 1, 2021
Galaxy.AI
Artificial Intelligence Engineer
December 1, 2016 – August 1, 2018
Techstars
Data Scientist in Residence
September 1, 2016 – January 1, 2017
New York, New York
Scout Ventures
Venture Fellow
July 1, 2015 – September 1, 2015
New York, New York
IBM
Associate Consultant
July 1, 2014 – July 1, 2015
New York, New York
Citi
Sales and Trading Summer Analyst
June 1, 2013 – August 1, 2013
New York, New York
Columbia University
Research Assistant
January 1, 2012 – January 1, 2013
Columbia University Astrophysics Lab
Exhibitions of Modern European Painting 1905-1915
July 1, 2017 – May 1, 2020
As a consultant for a research group at the University of Vienna: developing an exhaustive database of early 20th century art exhibitions, by using computer vision and language processing techniques for OCR (optical character recognition), to recognize relationships between visual and semantic entities in scans of art catalogs Published in The Routledge Companion to Digital Humanities and Art History
Continuous-time Analysis of Temporal Networks
May 1, 2016 – July 1, 2021
Master's dissertation project, supervised by Professor Mason Porter and Dr. Mariano Beguerisse-Diaz. Developing novel graph theory methods to gain insights from networks that evolve continuously in time, including but not limited to social, sensor, and economic networks. Published in IEEE Transactions on Network Science and Engineering
Network Analysis of UK Patent Data
January 1, 2016 – Present
In a team of five, analyzed the United Kingdom's patent data from the past century, using graph/network theory to mathematically to quantify innovativeness and detect technological eras. Worked under the supervision of Dr. Mariano Beguerisse and Dr. Hyejin Youn, in collaboration with Professor Doyne Farmer of the Oxford Martin School. Preparing for journal submission
Crew Earth Observation Application
January 1, 2014 – May 1, 2014
Worked in a team of five to develop a MATLAB application to assist astronauts with Crew Earth Observations • Designed a program to calculate the International Space Station (ISS) position and the targeted site positions • Created a user interface using MATLAB's GUI functionality and Google Earth to display in real-time the view from the ISS • Presented the standalone application to peers and NASA engineers
AIARE 1
American Institute for Avalanche Research and Education (AIARE)
June 24, 2026 – Present
ColumbiaX CSMM.101x: Artificial Intelligence (AI)
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background includes diverse experiences from academic research to venture capital and early-stage startups, indicating a broad perspective and adaptability. Their work on projects like 'Exhibitions of Modern European Painting' and 'Crew Earth Observation Application' alongside core ML roles suggests intellectual curiosity and a willingness to apply skills across different domains. The progression through various roles at Reverie Labs, culminating in ML Platform Lead, shows commitment and growth within an organization. The target role of ML Engineer aligns well with their core technical experience and career trajectory.
Soft Skills & Operational Fit
The candidate's career progression from ML Engineer to ML Platform Lead and Senior AI Research Engineer at innovative companies like Reverie Labs and Isomorphic Labs suggests strong leadership potential, problem-solving skills, and a proactive approach to technical challenges. Involvement in early-stage companies indicates an ability to thrive in dynamic, fast-paced environments. The project descriptions highlight collaboration (e.g., 'team of five', 'supervised by Professor'), indicating good teamwork skills. The publications demonstrate strong communication of complex technical concepts.