Garrett Wolfe

Phone number (562) 304-9224
Email me@garrettwolfe.dev
LinkedIn in/garrett-wolfe

EDUCATION


M.S. Artificial Intelligence

Expected Jun 2022

University of California San Diego

B.S. Computer Science

Jun 2020

University of California Irvine, Cum Laude, GPA 3.88

Google’s DeepMind Fellowship Scholar

EXPERIENCE


Blue River Technology (subsidiary of John Deere, autonomous farming equipment)
Jun 2020 - Sep 2021
Machine Learning Engineer, Intern

● Implemented self-supervised object detection infrastructure consolidating a 4-person task and establishing baselines to prevent object collisions for autonomous equipment

● Implemented image similarity algorithms to reduce oversized training and validation datasets by 92%

● Worked cross-functionally with team members to develop scalable Auto ML pipeline

● Met with stakeholders and assessed their needs in the field, informing design of image labeling schema and performance requirements


Big Purple Dot(Real Estate Customer Relations Management)
Jan 2020 - Oct 2020
Full Stack Development, Intern

● Designed, prototyped, and developed a new messaging feature in collaboration with stakeholders, increasing adoption and boosting user confidence

● Resolved concurrency issues from database transactions eliminating scheduled job failures

● Personally developed Holiday Email and SMS feature

● Created RESTful APIs using Test Driven Development in Ruby on Rails framework

● Onboarded and mentored new employees expediting integration into the team

PROJECTS


COVID-19 Severity Classifier -   Pytorch, Pandas
Jun 2021

● Created classifier to predict the likely severity of covid infections using peptide frequencies

● Identified 11 key peptides from set of 100,000 as targets for future research

● Overcame small dataset, noisy and missing data, and severe imbalance of number of parameters to samples


Reinforcement Learning Path Finder -   Numpy, Jupyter Notebook
Dec 2020

● Created a reinforcement learning algorithm from-scratch facilitating intelligent navigation of a non-deterministic environment

● Implemented using both policy iteration and value iteration cementing ML fundamentals


UNITE App -   C++, Sqlite
Dec 2019

● National Science Foundation sponsored project to provide ubiquitous medical monitoring with wearable IoT devices for pregnant mothers in underserved communities using state-of-the-art ML methods

● Optimized sensor data collection on Samsung Gear smartwatch improving battery life by 20%

● Implemented local database for sensor data storage to enable statistical analysis, feature extraction, and machine learning on edge devices


Fabflix -   Java, Tomcat
Jun 2020

● Hosted Netflix imitation site using microservices architecture on multiple AWS instances

● Incorporated session and user management

● Developed features like search, shopping cart, load-balancing, and reCaptcha

SKILLS


Languages:   Python, C++, Java, Ruby, Javascript, C, SQL, HTML, CSS, jQuery, and Assembly
Tools:    Pytorch, Numpy, Jupyter Notebook, Pandas, Sci-Kit Learn, AWS, Weights and Biases, Android Studio, Git, Ruby on Rails, Visual Studio, Selenium, Chrome Developer Tools
Methodologies:   Agile, Kanban, Scrum
OS:   Windows, Mac, and Linux


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