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Forward Deployed Engineering @ Tavily | prev. Bain & Co, McGill
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Tavily
Data Scientist
June 25, 2026 – Present
sae-explore
December 25, 2024 – April 16, 2025
Quick & dirty repository for exploring feature activations on image generation prompts
View Projectmicrograd
July 17, 2024 – August 24, 2024
The Autograd Engine that implements backpropagation
View ProjectDeep-Learning-From-Scratch
May 24, 2024 – September 3, 2024
Implementing popular deep learning papers in PyTorch
View ProjectRoute-Optimization-STM
November 2, 2023 – May 4, 2024
A route optimization model for urban disaster evacuation planning in Montreal using GTFS data
View Projectnft-game-buildspace
January 8, 2022 – January 8, 2022
Front-end code for NFT game on Rinkeby Testnet
View ProjectCSGO-Visualization
October 31, 2021 – November 13, 2021
Library to quickly parse CSGO demos and visualize important metrics such as grenade trajectories and weapon heatmaps
View ProjectIndia-Trade-Data
August 15, 2019 – November 2, 2022
A web scraper written in Python to gather trade data for India across commodities and countries
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration in data science. The diversity of projects, from theoretical implementations to practical applications and even some web development, suggests adaptability and a broad interest in technology. However, the lack of team-based or professional project experience makes it difficult to fully assess cultural fit in a collaborative work environment. The current role as 'Data Scientist' at Tavily, if current, aligns well with the target role, but no details are provided about this experience.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.