hi, my name is
EdwinLuo.
software engineer
GPT abuser
＜（＾－＾）＞
to the moon!
About Me
Hi! I'm Edwin, a CS graduate from Rutgers University.
I enjoy creating products and experiences that impact, using programming as a means to an end.
Outside of software engineering I have a variety of interests including cooking, eating, working out, learning guitar+singing, music, and soccer. :)
One day I will become CTO of the Hedgewins - a company with friends that impact others in a positive way.
Where I’ve Worked
Summer 2024
Parafin
Summer 2023 - Summer 2024
Parafin
Spring 2023
Datadog
Summer 2022
Robinhood
Fall 2021
Certik
Summer 2021
Visa
Spring 2021
Minos Labs
Fall 2019
Commvault
Senior Software Engineer - Backend
@ Parafin
Senior Software Engineer - Backend
August 2024 - Present
- Cooking & serving projects on Merchant Decisioning Team
Software Engineer - Backend
@ Parafin
Software Engineer - Backend
Jun 2023 - Aug 2024
- Worked directly with operation leads to create a system for generating servicing cases in our backend and surfacing them in Salesforce, enabling a standardized servicing effort for scalability and analytical capabilities
- Redesigned our loan application system to be driven by modular decisions, enabling
- Operations to have a clear interface to understand, interact with, and decision on applications
- DS to easily create analytics regarding time to fund and bottlenecks for certain application flows
- Eng to quickly iterate on integrating new application flows that provide more decisioning signal
- Productionized using GPT to flag businesses with outstanding loans that have churned from their original platform so we could legally recollect the otherwise lost repayments, recovering over $250,000 and counting
- Created an task approval retool app for our operations team to replace the Airplane Sunset
- Assisted implementing key components of our credit facility reporting pipeline
- Rearchitected our legacy funding pipeline to improve traceability + maintainability
Software Engineer Intern - Backend
@ Datadog
Software Engineer Intern - Backend
January 2023 - April 2023
- Migrated GCP Integration Crawlers from Python to Go and consolidated API request design, causing a ~400% decrease in p50 crawler run time from 6.17s to 1.53s and x3 decrease in repeat API calls across crawlers
- Independently authored the RFC for my consolidation project by scoping out technological dependencies
Software Engineer Intern - Backend
@ Robinhood
Software Engineer Intern - Backend
May 2022 - August 2022
- Developed feature data pipelines using Python to support anti-fraud machine learning models and heuristic rules
- Ingested features, trained, and deployed a new debit card anti-fraud model using Presto SQL, Pandas, and XGBoost to improve recent average monthly precision by 42% and recall by 92% relative to the previous model
- Conducted offline analysis using Presto SQL to monitor and evaluate performance of models and heuristic rules
Software Engineer Intern - Fullstack
@ Certik
Software Engineer Intern - Fullstack
October 2021 - December 2021
- Implemented new UI and connected API handlers using React and Next.js to support new designs and features
- Developed integration and E2E tests using Cypress to automate core UX flows and increase code coverage
Software Engineer Intern - Backend
@ Visa
Software Engineer Intern - Backend
May 2021 - August 2021
- Developed Spring Boot REST APIs for a Visa Transaction Controls MVP planned for over 60 million users
- Engaged in Agile methodology and proper development workflow using Git, JUnit, and Karate testing
Software Engineer Intern - Fullstack
@ Minos Labs
Software Engineer Intern - Fullstack
January 2021 - April 2021
- Directed refactoring of legacy code to modularize components and styling, reducing codebase size by 18%
- Implemented SignEasy API using React and Firebase to establish hiring document pipeline for clients
Software Engineer Intern - DevOps
@ Commvault
Software Engineer Intern - DevOps
September 2019 - January 2020
- Created a Go shell script using kubectl to automate the creation and deletion of Kubernetes clusters