Help & Supportcareers@gravityer.com
ML Engineer and Data Scientist | Masters in ML at Mila @mila-iqia and Université de Montréal
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.