4th-year Computer Engineering student, minoring Robotics & Chinese, focused on applied AI for national defense, with hands-on research in computer vision. My current [computer vision] research focuses on dataset creation and model training for context-aware gaze estimation - CASEset.
ezekielmitchll@gmail.com
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GitHub
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Experience
Student Research — Computer Vision, Deep Learning
Seattle University ↗
June 2022 – Present
Seattle, WA
- Engineered and deployed an automated multi-modal data collection pipeline (webcam, screenshots, TOBII gaze), achieving 98% capture accuracy and <50 ms synchronization latency
- Led development of the CASEset dataset and deep learning training pipeline; recruited and managed 13 participants to collect 15K+ labeled frames (32 hrs) of synchronized data, extending the IEEE-published “CASE: Context-Aware Screen-based Estimation of Gaze” research and presenting findings at Seattle University’s STEM Research Showcase
- Designed and implemented high-accuracy object detection, recognition, and tracking pipelines using Python, PyTorch, and OpenCV, leading to a 20% increase in student participation in robotics lab sessions and enhancing hands-on learning workshops
Engineering & QA Laboratory Manager
Promethean ↗
September 2024 - May 2025
Seattle, WA
- Developed automated Python scripts integrating ADB, serial communication, MQTT telemetry, and AWS S3 APIs to streamline firmware updates and hardware testing, reducing manual intervention by 80%
- Collaborated with senior engineers to develop secure API integrations between testing equipment and cloud infrastructure, implementing encryption protocols for remote hardware management and data integrity validation
Department Manager - Sergeant, Armory Chief
United States Marine Corps ↗
January 2017 - January 2021
Okinawa, Japan
- Maintained 100% systems readiness of serialized technical systems and armory safety and compliance by strictly following Marine Corps Battalion order 8000.2C - Ordnance Standing Operating Procedures with zero discrepancies found during biennial audit
- Supervised over $3.5 million in military-technical systems for 9 strategic objectives and 1,300 personnel across four countries, overseeing ordering, issuing, tracking, and maintenance