Expected Jun 2022
University of California San Diego
Jun 2020
University of California Irvine, Cum Laude, GPA 3.88
● 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
● 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
● 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
● 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
● 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
● 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