Email: trevorddaykin@gmail.com
LinkedIn: linkedin.com/in/trevordaykin
Profile:
I have one year of engineering industry experience working with electromechanical systems, mechanical design, and root casue analysis for biomedical and manufacturing applications. With those skills, I have created user-facing parts for large CAD assemblies with technical drawings, in-house testing applications, and jigs. Recently, I created an official plugin for the note-taking app Obsidian called Image Collector, which now has over 2K+ downloads. In school, my team and I are working on our capstone project, developing an edge AI chip for low-latency inference.
Education:
4th Year UBC Engineering Physics, BASc
University Of British Columbia - Vancouver, B.C., Canada
Sept. 2021 – Present
- Engineering Physics is the bridge between Engineering and Science combining advanced concepts in math and physics while putting them to practical use in team-based projects.
- Key Courses: software construction, signal processing, mechanics and instrument design.
Technical Skills:
- Prototyping Tools: SolidWorks, 3D printing, laser cutting, soldering, Arduino, STM32, KiCad, FPGAs.
- Programming: Python, Linux, R, Matlab, C++.
- Libraries/Frameworks: Onnx, PyTorch, OpenCV, ROS, NumPy, Pandas, PySide6.
Technical Experience:
Instrumentation Engineer Co-op
Cytiva - Vancouver, B.C., Canada
May 2024 – Dec. 2024
- Identified and solved a short-circuiting risk through root cause analysis, designing a machined aluminum part to improve device safety working with engineering teams and project managers.
- Developed an RFID reading tool to quickly diagnose 100% of RFID tagged products using an Arduino and custom software in C++.
- Designed and prototyped user-facing parts for large biomedical device CAD assemblies with technical drawings.
MEA Process Engineer Co-op, Advanced Manufacturing
Ballard Power Systems - Burnaby, B.C., Canada
Jan. 2023 – April. 2023
- Hands-on experience operating Liquid Injection Molding machines including troubleshooting and optimization of molding parameters through data collection and analysis.
- Decreased production times by 75% through a combination of rapid prototyping 3D printed jigs and updates to vision system routines.
- In-depth knowledge on the manufacturing and development of fuel cells.
Technical Projects:
“Image Collector” plugin for Obsidian
Technologies: Open Source, TypeScript, JavaScript, CSS
- Created an Obsidian approved plugin with 2K+ downloads to automatically extract and organize images from markdown files.
- Actively engaged in user feedback and led 4 different version releases.
Self Driving Car Agent
Technologies: ROS, Gazebo, CNNs, DAgger, Keras
- Developed and trained a CNN model using imitation learning and DAgger to navigate an autonomous robot around a Gazebo environment with ROS.
- Optimized data collection and preprocessing to improve robot performance and reduce model size by over 90%, increasing performance accuracy.
Autonomous Driving Robot Competition: 2nd Place
Technologies: CAD, Machine Shop, C++
- Brainstormed, designed, and manufactured an autonomous robot with a group of 4 to race on the same track as other robots while passively picking up and avoiding objects.
- Created the entire chassis, ensuring all sensors, circuits and mechanical components function as intended, quickly prototyping drawings into reality by using 3D printers and laser/waterjet cutters.
- Implemented and tuned a PID algorithm in C++ so the robot can follow tape smoothly through custom-made tape sensors controlled by an STM-32 Blue Pill.
Nand2Tetris: Project Course
Technologies: HDL, Gate logics, Git
- Designed digital logic circuits using Hardware Description Language (HDL), combining various logic gates and sequentially developing larger components of a modified computer system.
- Developed an understanding of computer architecture by building a modified computer system from the NAND gate up; learning knowledge of CPU architecture, ALU design, and memory systems.
Canadian Synthetic Biology Education Research Group, SYNB3
Technologies: Python: scikit-learn, NumPy, pandas
- Assisted in the identification of a cannabinoid that has a high affinity for the human CB1 receptor.
- Modeled protein similarities through hallucinations using Python, PyMol, and knowledge of organic chemistry.
- Produced a technical outline with a multidisciplinary team across Canada that organized our results to satisfy real-world demands for potential companies to explore.
Multidisciplinary Undergraduate Research Competition
Technologies: R, Statistical Methods: Hypothesis Testing
- Analyzed and statistically compared market data of air purifiers using R to lower costs and increase the efficiency and safety of incoming products for COVID-19.
- Interpreted how ultraviolet air purifying works, specifically with TiO2 together with multi-walled carbon nanotubes, which reduce the harmful effects of UV radiation
- Transformed our findings into digestible content by using Python and Matplotlib to be shared in a conference.
Community Engagement:
Engineering Physics Mentor
University of British Columbia - Vancouver, B.C.
Sept. 2023 – Present
- Guided 5 first-year students in Engineering Physics, providing academic support and career advice.
Publications and Conferences:
Multidisciplinary Undergraduate Research Competition (MURC)
University of British Columbia - Vancouver, B.C.
March 2022
- Authored an abstract and represented our findings in a non-technical presentation.