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Mechatronics Engineering @ UWaterloo
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
tsid_control
February 5, 2025 – November 6, 2025
Prototype TSID algorithms in barebone Mujoco
View Projecttoyota-software-challenge
January 14, 2024 – January 15, 2024
Team submission for the 2023 Uwaterloo Toyota Software Design Challenge. Used CV to detect holes in partss to automate the placement of stickers.
View ProjectCUDA-kernel-optimization
October 14, 2023 – March 2, 2024
Optimizing CUDA kernels using a reinforcement learning approach
View Projectbs-lindor
July 12, 2023 – August 7, 2023
Lindor... a sweet serpent, Furry, cute, yet not for feasts, Tempting, but untouched. Hardened by years of experience, in DC library :/
View Project3DOF-robotic-arm-optimization
March 31, 2023 – April 4, 2023
A program to optimize the length of each arm segment in a 3-degrees-of-freedom robotic arm to minimize torque about the main motor.
View ProjectBobaBot
January 12, 2023 – May 14, 2023
Mechatronics 1A culminating project: BobaBot. It is a mechatronics system that handles the delivery of drinks to any room layout autonomously.
View ProjectDesktop-Poro
January 16, 2021 – January 21, 2021
Simple Desktop Poro that can keep you company as you go about doing your work!
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a self-driven learning approach. The diversity of technologies (Python, Cuda, C++, Go, Rust, JavaScript, Java) suggests a broad technical curiosity. However, the projects lack explicit team collaboration details or alignment with typical enterprise data science workflows, making a definitive cultural fit assessment challenging without further information. The target role is 'Data Scientist', and while there are relevant projects, the overall breadth of projects (e.g., BobaBot, Desktop-Poro) suggests a general engineering interest rather than a focused data science trajectory.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.