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Assessing your cultural and operational fit
MTS @ Amazon, AGI Autonomy (SF Lab) | LLM Post-training & RL
PhD-trained machine learning researcher and engineer specializing in reinforcement learning, multimodal deep learning, and numerical optimization. First author of 5 publications at leading AI venues (NeurIPS, ICLR, TMLR, CVPR) and inventor on 4 granted patents. 5+ years of industry experience spanning fundamental research and production-scale ML systems. My latest published work (ICLR 2025) introduces the fastest general purpose, high-precision solver for the centuries-old discrete optimal transport problem. Check it out at https://github.com/metekemertas/mdot_tnt
University of Toronto
Doctor of Philosophy - PhD, Computer Science
September 1, 2020 – May 1, 2026
University of Toronto
Master of Science in Applied Computing, Computer Science
September 1, 2016 – December 1, 2017
McGill University
Bachelor of Engineering (B.Eng.), Electrical Engineering
December 1, 2015 – Present
Kadıköy Anadolu Lisesi ve Maarif Koleji
High School Diploma
June 1, 2011 – Present
Amazon
Member of Technical Staff, AGI Autonomy
July 1, 2025 – Present
San Francisco, California, United States · On-site
Vector Institute
Machine Learning Researcher (as PhD student)
September 1, 2022 – June 1, 2025
Toronto, Ontario, Canada
Samsung Electronics
Machine Learning Researcher (as PhD student)
May 1, 2021 – August 1, 2022
Toronto, Ontario, Canada
Samsung Electronics
Staff I Machine Learning Research Engineer
March 1, 2020 – September 1, 2020
Samsung Electronics
Senior Machine Learning Engineer
May 1, 2018 – March 1, 2020
TealBook
Machine Learning Engineer
May 1, 2017 – May 1, 2018
Toronto, Canada Area
Ormuco - The Connected Cloud
Software Developer (Backend)
May 1, 2016 – August 1, 2016
Montreal, Quebec, Canada
Ericsson
Software Developer Intern
May 1, 2015 – August 1, 2015
Greater Montreal Metropolitan Area
Cultural Fit Analysis
The candidate's background shows a strong inclination towards research and development in cutting-edge AI/ML fields, aligning well with an innovative and technically driven culture. Their experience spans both large corporations (Amazon, Samsung, Ericsson) and a startup (TealBook), indicating adaptability to different organizational structures and paces. The academic pursuit of a PhD alongside industry roles suggests a continuous learning mindset. However, the lack of explicit project diversity outside of ML research and engineering, and the focus on a specific target role (ML Engineer), might suggest a more specialized rather than broad cultural fit.
Soft Skills & Operational Fit
The candidate's experience at Samsung Electronics highlights strong leadership, presentation skills (delivering demos to executives, talks at global research gatherings), and strategic influence. Their role at TealBook as the first ML engineer demonstrates initiative, problem-solving, and business impact (reducing costs, repositioning the company). These indicate a strong operational fit for roles requiring both technical depth and strategic contribution.