ML Engineer and Data Scientist | Masters in ML at Mila @mila-iqia and Université de Montréal
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Mila and Université de Montréal
Data Scientist
June 24, 2026 – Present
safe
July 2, 2023 – September 17, 2025
A single model for all your molecular design tasks
View Projectquick-recipe
March 7, 2023 – May 6, 2023
Extracting procedural instructions from cooking videos
View Projectarxiv-scout
January 30, 2023 – June 1, 2025
A microservice API that allows you to query the latest Arxiv AI articles using text embeddings
View Projectalgos
February 21, 2020 – January 29, 2023
Notebooks containing data structures and algorithms practice questions
View Projectds-docker-tutorial
January 14, 2020 – December 8, 2022
A simple tutorial on using Docker to build APIs for Data Science
View Projectparity_v1
June 5, 2016 – June 17, 2016
One-stop platform for photographers, make-up artists, models, venue rentals and customers
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning. However, the projects are predominantly individual efforts, making it difficult to assess team collaboration or experience in a structured team environment. The diversity of projects, including web development (HTML, CSS, JavaScript, TypeScript, Java), suggests a broad interest but also a potential lack of deep specialization in core data science engineering practices beyond Python scripting and notebook-based work. The current role at Mila and Université de Montréal aligns well with a research-oriented data scientist position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.