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University of Waterloo
Data Scientist
June 26, 2026 – Present
bilstm-vs-transformer
August 1, 2025 – August 1, 2025
bilstm-vs-transformer — Dev.to repository
View Projectmonster-candidate-api
April 23, 2024 – April 24, 2024
A simple and typed npm package providing a wrapper around the Monster Candidate API. This package is designed to be used in a Node.js environment.
View ProjectTwitter-Content-Vault
March 31, 2024 – September 8, 2024
Content Vault is an AI-powered content management system designed for content creators, social media managers, and digital marketers. It streamlines the process of curating, approving, and posting various types of text-based content on Twitter/X.
View Project2-tetris
July 13, 2023 – September 3, 2024
A 2-player, turn-based Tetris battle using C++, SDL2, and OpenGL. Features multithreading, custom themes, various difficulty levels, and more. Born from an OOP class project, it offers a unique twist on the classic game.
View ProjectTurboCore
February 13, 2023 – November 28, 2023
A fast, scalable, and reliable backend-as-a-service built with Rust. Designed to simplify app development, TurboCore lets you do all the traditional backend stuff without needing to develop a backend yourself.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards personal projects, demonstrating initiative and a passion for technology. The diversity of projects, from game development to backend services and AI tools, suggests a broad interest and ability to learn new domains. However, the target role is 'Data Scientist', and while there are some relevant projects (Twitter-Content-Vault, bilstm-vs-transformer), the overall project distribution is not heavily skewed towards data science specific applications, which might indicate a moderate fit for a dedicated data science role without further evidence.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, capable of initiating and completing diverse technical projects. The variety of projects suggests adaptability and a willingness to explore different technologies. However, without specific assessment data on communication, teamwork, or problem-solving in a collaborative setting, a definitive operational fit cannot be fully determined.