Email: trevorddaykin@gmail.com
LinkedIn: linkedin.com/in/trevordaykin
Profile:
My goal is to be a part of the innovative technology scene, leveraging my creativity and deeply rooted math and physics background to drive positive changes. During my recent role at a leading global fuel cell company, I worked in a multidisciplinary team and pursued many projects, from liquid injection molding to particle analysis. In this role, I learned to take initiative and lead in ambitious environments while consistently emphasizing my accountability and meaningful contributions.
Education:
3rd 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 Experience:
MEA Process Engineer Co-op, Advanced Manufacturing
Ballard Power Systems - Burnaby, B.C., Canada
Jan. 2023 – April. 2023
- Applied a structured approach to qualify an automated robotic Liquid Injection Molding process involving data collection, capability/GR\&R analysis, and ultimately, a presentation of results in a lean Six Sigma environment.
- Hands-on experience in operating Liquid Injection Molding machines including troubleshooting and control over molding parameters.
- Developed and implemented automated data analysis in excel, transforming raw data into actionable insights; increasing overall efficiency by 98%.
- Accelerated production times by 75% through a combination of rapid prototyping 3D printed fixtures designed in Creo and updates to vision measurement system routines in C++.
- In-depth knowledge on the manufacturing and development of fuel cells
Technical Projects:
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.
Technical Skills:
- Prototyping Tools: 3D printing, laser/waterjet cutting, SolidWorks, OnShape, oscilloscopes, soldering
- Languages/Systems: Python, C/C++, Java, Matlab, R, Linux, ROS
- Libraries: Pandas, NumPy, Matplotlib, OpenCV
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.