Clyde James Felix Email & Phone Number

Honolulu, Hawaii, United States

- Led backend development for a modernized serverless web/mobile application for the Child Support Enforcement Agency, delivering 20+ Python APIs with AWS Lambda, managing PostgreSQL database data, and optimizing architecture to increase overall application speed by 70%- Led fullstack development for the Department of Education reporting web application used by 256 schools utilizing AWS, Angular, NodeJS, and MSSLQ database, resulting in 5 features and 20+ bug fixes that were pushed to production- Created Python scripts that generated over 600+ reports and analytical insights using the Google Gemini LLM API using public school data for users across Oahu schools, enabling 15% AI adoption for the Department of Education- Researched, and implemented generative AI solutions using AWS and Python, presenting to 3+ clients and team members to initiate the adoption of AI in projects

Honolulu, Hawaii, United States

- Constructed an iterative Deep Learning architecture to solve the MRI image reconstruction optimization problem utilizing Linux, MATLAB and Pytorch, achieving a 13% increase in model performance on around 60% undersampled MRI images. - Managed around 10-30 undergraduate students in conducting experiments using Python and MATLAB, supporting courses in Linear Algebra/Machine Learning, Communication System, Microelectronic Circuits, and Digital Signal Processing.

- Conducted experiments using radioactive sources to support the development of Neutron detectors- Provided data analysis to contribute to the Neutron detection research using Python

- Collaborated with 3 students on providing mathematical simulations on automatic complexities of Fibonacci/Tribonacci words and VC-dimensions using Python and Jupyter Notebook- Contributed to an accepted ISAIM publication and Undergraduate Research Program presentation

3 Chome-8-１ Harumicho, Fuchu, Tokyo 183-8538

- Designed a Brain-Computer Interface system that extracts EEG signals and classifies the Motor Imagery states of an individual using Support Vector Machine (SVM) using MATLAB, achieving around 95% in Machine Learning model accuracy

Master Of Science - Ms, Electrical Engineering

Track: Systems & Data Science

Bachelor Of Science - Bs, Electrical And Electronics Engineering

Track: Systems