I am a software engineer who loves building tools that give people easy access to resources and enable them to use their talent to impact the world positively. To do that, I am constantly learning in the fields of computer science, math, economics, and moral philosophy.

Experience

2021 — NowCoinbaseSoftware Engineer

2021 — Now

Integrated third-party exchange APIs to increase liquidity options for institutional clients using Coinbase Prime, generated $87B+ in total trading volume

Built scalable and fault-tolerant services to reliably place, track, and recover 10K+ orders per second with data sharding and failover redundancy

Designed and scaled the market data service to deliver high fidelity price book for 500+ products within 30ms of latency

Scoped and implemented reusable and extensible framework for novel work to increase developer productivity and code maintainability

2020 — 2020CoinbaseSoftware Engineer Intern

2020 — 2020

San Francisco, California, United States

Streamlined an in-app invoice workflow for Coinbase Prime that will save finance and operation team 40 hours of phone call per week, claim back $350K unpaid invoice, and provide 800+ Custody Organizations with timely invoices

Built scalable backend automatic billing service, invoice service and email notification service with Ruby on Rails

Ensured fast UI load time with proper frontend caching through Rest Hooks and SWR

Automated Custody invoice PDF generation and storage in AWS S3 with the use of Rails ERB template and Puppeteer

2019 — 2019Omniscience CorporationSoftware Engineer Intern

2019 — 2019

Palo Alto, California

Expedited image resizing and uploading to AWS S3 by using Thumbnailator to reduce 30% thumbnail load time

Constructed a scalable RESTful Flask app with Swagger Codegen and SQLAlchemy for reliable underwriting automation

Implemented document uploading, sharing, editing, and labeling across multiple online platforms with Angular, Spring Boot, and AWS S3 for thousands of underwriters from large insurance companies (e.g. RGA Insurance, AIA Group)

2018 — 2019University of California, San Diego - Jacobs School of EngineeringUndergraduate Student Researcher (Early Research Scholars Program)

2018 — 2019

Greater San Diego Area

Developed a Bayesian Personalized Binary Classifier that predicts whether or not users will play a game before purchasing from Steam with 93% accuracy

Utilized Scipy and Scikit-Learn to apply popular visualization and data-processing practices (e.g. t-SNE) on huge real-world data and build custom machine learning pipeline (e.g. BPR with a sigmoid activation function)

Optimized the model training with stochastic gradient descent through map-reduce sampling for faster and more reliable evaluation metrics

Education

UC San Diego

Bachelor of Science - BS

St. Joseph's Prep

Experience

Education

Bachelor of Science - BS

High School