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Ph.D. student at @mila-iqia @montrealrobotics on Machine Learning and Robotics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
montrealrobotics
Data Scientist
June 19, 2026 – Present
mila-iqia
Data Scientist
June 19, 2026 – Present
mechanics-curriculum-src
February 14, 2023 – March 6, 2025
This repository accompanies the paper "Rethinking Teacher-Student Curriculum Learning through The Cooperative Mechanics of Experience"
View Projectrl-benchmarks
October 2, 2021 – October 3, 2021
A Historic Recollection of Reinforcement Learning Benchmarks
View Projectecotheory
April 6, 2021 – August 14, 2021
An Information Theory Perspective on the Complexity of MDPs
View Projectactive-domainrand
April 10, 2019 – January 4, 2021
Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)
View Projectduckietown_dtp
December 13, 2017 – March 30, 2018
Detection, Tracking and Prediction in Duckietown
View Projectdeep-learning-pi3
October 19, 2017 – December 1, 2017
Pytorch Pre-trained CNN Models Benchmark on Raspberry Pi 3
View Projectselfdrivingcar-engineer-nd
July 22, 2017 – July 22, 2017
Udacity's Self-Driving Car Nanodegree Program Work
View Projectopenal-android-sample
July 22, 2017 – July 22, 2017
A working sample of openal4android library.
View Projectawesome-autonomous-vehicles
December 9, 2016 – March 15, 2024
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
View Projectberkeley-cs-188
October 25, 2016 – November 11, 2016
Berkeley CS 188 Artificial Intelligence [Projects Work]
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in research and development within AI/ML, which could indicate a good fit for an innovative and technically driven culture. However, the experience level is listed as 0, and the listed work experience dates are in the future, which raises concerns about the accuracy of the provided professional experience. The projects are predominantly personal, suggesting a self-driven individual, but also a potential lack of experience in collaborative, production-level environments. The diversity of projects within the AI/ML domain is good, but there's limited evidence of broader data science skills beyond core ML/AI.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration. No interview data is available.