Daniel Xie Email & Phone Number

Toronto, On, Ca

Markham, Ontario, Canada

Oshawa, Ontario, Canada

• Developed and designed a DC-DC converter PCB (500V to 12V) with teammates using EAGLEAUTODESK that was compliant with the Formula SAE safety guidelines.• Updated the Power Distribution Module PCB design utilizing undervoltage protection circuits to preventoverdischarge of the lithium-polymer battery cells.• Designs helped the team earn third place in the Formula SAE North American EV Presentation Event.• Developed a wireless telemetry system using LoRaWAN (Long Range WAN) transceivers to export real-time data from a MoTeC ECU (Engine Control Unit).• Supported subsystem projects with duties including: sourcing components and generating BOMs,communicating design concepts to teammates, generating documentation, advising PCB assembly andtroubleshooting.

• Developing and troubleshooting a custom Windows sound editor and generator application that integrates OCT (Optical Coherence Tomography) imaging system with data acquisition equipment and an audio system. Implemented with Python and Matlab.• Set project timelines, prioritized tasks, created diagrams for ideation and communicated check-in updatesto the head researchers to ensure that the project was on track.• Improved workflow, data sampling rate precision and data acquisition efficiency.

• Was a member of the business applications team in the fall/winter of 2019 to create a Long Short-Term Memory neural network model to predict stock prices. • Was member of a medical-imaging team during the summer 2020 trained a VGG16 model to diagnose different Alzheimer’s disease stages using MRI images. • During the fall and winter of 2020, was a member medical imaging team developed another VGG16 model using an X-ray scan dataset of 14 different diseases. • Helped solve a variety of debugging issues and gained hands-on experience and knowledge developing linear regression models and neural networks. • Was able to refine skills to find an optimized set of weights and preprocessing to consistently achieve ~95% accuracy with the VGG16 models