Jakob Koblinsky

Education

BASc Computer Engineering, University of Waterloo — 3.5/4.0 GPA
Sept 2020 – Apr 2025

Notable Courses: Numerical Methods, Compilers, Computer Networks, Distributed Systems, Real Analysis

Antrim, Northern Ireland | Jan 2024 – Apr 2024

Increased reliability of the Evidence Evolution, a clinical analysis robot (legacy Linux/C++/Qt, ~200 processes)
Uncovered and patched fatal bug in Linux cron job, hidden for years, increasing uptime by 10%
Patched fatal intermittent fault by augmenting task scheduling code with safety checks on previously unused sensors
Gained deep understanding of machine software with 500K+ lines-of-code in absence of senior developers
Linked chemical analysis to C++ code to explain results for chemists and biomedical engineers
Collaborated with operators to identify pain points in Qt GUI, implementing C++ changes to enhance UX
Streamlined release management by integrating and educating on git-flow procedure, increasing developer accountability

Toronto, Canada | Jan 2023 – Apr 2023

Developed new features for MassMotion, a desktop app for 3D pedestrian simulation (modern Windows/C++)
Presented alternative approaches using modern C++20 features
Built indent reformat feature for internal Python script editor to reduce code sharing friction
Added live syntax error feedback with Tree-sitter, reducing edit-compile-test loop time
Improved maintainability of script editor search by isolating and unit testing circular buffer data structure
Delivered strong end-of-term presentation, well received by team

Burlington, Canada | May 2022 – Aug 2022

Validated and improved the MIO-BLADE-Z21 Audio/Video Processing Device (Embedded Linux C++)
Prototyped library with C++ templates and observer pattern to simplify inter-process callbacks
Researched and reported on latest IEEE video payload specs, confirming device compliance

Mississauga, Canada | Sept 2021 – Dec 2021

Co-architected live data dashboard using Python + AWS Lambda for cost-efficient real-time reporting
Integrated GitLab CI/CD pipeline for reliable, error-free dashboard deployment

Toronto, Canada | Jan 2021 – Apr 2021

Implemented genetic algorithm in Python for battery use optimization, providing revenue insights
Analyzed energy data with Pandas and presented findings to COO, revealing carbon reduction potential

Engineering Capstone — Small, low-cost embedded health device to remind users to stand. Designed activity detection algorithm with Python prototype and C implementation.
LoveBoxLink — Arduino C++ multiplayer whiteboard with custom message serialization (GitHub)
Advent of Code — Yearly programming competition.
- Completed up to Day 18 in 2022 with Python and C
- Completed all of 2023 and 2024 with Python