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Computer Vision | Data Science | Machine Learning
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I am a computer vision lead at GameChanger. I graduated from UC Davis with an M.S. in computer engineering and am a published author in the field of medical informatics. My master's research was focused on using machine learning to predict the occurrence of blood clots in cancer patients. I have worked on a variety of industry, academic, and personal AI projects and am passionate about applying innovative data-driven solutions to new domains.
University of California, Davis
Master of Science - MS, Computer Engineering
January 1, 2019 – June 1, 2020
University of California, Davis
Bachelor of Science - BS, Computer Engineering and Electrical Engineering
October 1, 2014 – December 1, 2018
GameChanger
Engineering Manager, Computer Vision
October 1, 2024 – Present
advanced.farm
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advanced.farm
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Madison, Wisconsin, United States
ChefBytes: AI-Powered Recipe Finder
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April 1, 2019 – November 1, 2019
Davis, CA
University of California, Davis
Graduate Student Researcher
January 1, 2019 – June 1, 2020
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Infosys
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June 1, 2018 – August 1, 2018
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Software and Embedded Systems Intern
September 1, 2017 – June 1, 2018
Sacramento, California Area
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January 1, 2015 – June 1, 2017
Sacramento, California Area
ChefBytes | AI-driven Mobile Cooking Application
April 1, 2019 – November 1, 2019
Recipe recommendation mobile application for iOS. Trained neural network for camera-based food identification, designed recipe recommendation algorithm, and built mobile application interface.
Bracket Predictor | Prediction Model for March Madness 2019-2021
March 1, 2019 – Present
Developed a random forest model to predict outcomes of matchups in 2019 college basketball tournament. Trained model based on previous 10 years of data. Predicted bracket ranked 2.4 million among all ESPN brackets (86th percentile). Expanded the project into an ensemble model in 2021.
Multi-Agent Showdown | Deep RL Maze Game
January 1, 2019 – March 1, 2019
Developed a maze video game with a platform to customize maze environments for training and testing deep multi-agent reinforcement learning algorithms.
Short Term Mortality Prediction for ICU Patients
January 1, 2019 – March 1, 2019
Developed 30-day mortality prediction model for ICU patients based on known mortality risk scoring systems. Trained model using random forest and achieved higher area under ROC curve than known risk assessment systems.
AI Chess Engine | Senior Design Project
January 1, 2018 – June 1, 2018
Developed software algorithms for AI-driven chess engine in a team of three students. Implemented Minimax algorithm and alpha-beta pruning for optimized move decisions.
Cultural Fit Analysis
The candidate's project diversity, ranging from personal projects like a March Madness predictor and a cooking app to professional roles in healthcare and robotics, demonstrates a broad interest and adaptability. Their experience in both research and industry, including managing teams, suggests a collaborative and growth-oriented mindset. The progression from individual contributor to manager roles indicates ambition and leadership potential, which generally aligns well with dynamic, innovative environments.
Soft Skills & Operational Fit
The candidate's experience includes leading training sessions and managing teams, indicating strong communication and leadership potential. Their diverse project portfolio suggests adaptability and a proactive approach to problem-solving. The progression into management roles at advanced.farm and GameChanger indicates a capacity for leadership and strategic thinking, which are valuable for senior roles.