
Thomas Pumir
Senior Research Engineer | AI & Optimization
Salaire / Taux journalier
San Francisco, Californie, États-Unis
Freelance
Expertises
Langues
À propos
Introduction
PhD engineer specializing in AI, machine learning, and data science with experience at Google, Applied Intuition, and autonomous driving. Expertise spans systematic trading strategies, infrastructure scaling, and computer vision for self-driving systems. I deliver advanced mathematical solutions and ML models that solve complex engineering challenges across fintech, tech infrastructure, and autonomous systems.
Expérience de travail
Enginnering
Applied Intuition
janv. 2025 - Présent
1 an 10 mois
San Francisco, Californie, États-Unis
Research Engineer
Helm.ai
janv. 2023 - janv. 2025
2 ans 1 mois
AI for self driving. Perception team.
Data Scientist - Engineering
janv. 2022 - janv. 2023
1 an 1 mois
San Francisco, Californie, États-Unis
Operations Data Science (ODS) Scaling Google's infrastructure
Member of research staff
The Voleon Group
janv. 2020 - janv. 2022
2 ans 1 mois
San Francisco, Californie, États-Unis
Systematic trading strategies in Equities and Fixed Income
Formation
Princeton University
Doctor of Philosophy (PhD), Operations Research and Financial Engineering
2014 - 2019
5 ans 1 mois
ENS Cachan
Master Mathématiques Vision Apprentissage
2012 - 2013
1 an 1 mois
Courses taken: - Compressed Sensing (G. Peyré) - MCMC Methodes(S. Allassonniere, G. Fort, E. Moulines) - Graphical Models (F. Bach, G. Obozinski) - Object recognition and computer vision (J. Ponce, J. Sivic, I. Laptev, C. Schmid) - Wavelets (S. Mallat) - Convex Optimization (A. D'Aspremont) - Kernel Methods (JP Vert) - prediction for individual sequences (G. Lugosi)
ENS Cachan
Mathématiques
2009 - 2013
4 ans 1 mois
Activités et associations : Rock climbing, scuba diving
The Ecole Normale Supérieure de Cachan is one of only three prestigious higher-education institutions in France which provides specific training for students aiming to become university teachers and researchers in their field.