# Shawn S. Huang

> Software Engineer

Location: New York, New York, United States
Profile: https://flows.cv/shawnshuang

## Work Experience
### Software Engineer @ Modern Treasury
Jan 2024 – Present
Payments Ingestion Team

### Software Engineer @ Supermove
Jan 2023 – Jan 2023
Supermove is all-in-one software for moving companies from CRM and scheduling to accounting and reporting.

• Implemented core features such as payments and tablet-based auth for multi-location businesses, which helped enable the company to sell to larger mid-market and enterprise businesses to increase revenue
• Refactored flagship and largest page in web app to be mobile responsive, which minimized customer churn by delivering on highly requested feature among top-paying customers during competitive market
• Technologies — CSS, JavaScript, TypeScript, React, GraphQL, Python, PostgreSQL

### Founder @ Plan A
Jan 2020 – Jan 2022
Plan A is a daily planner app that guides users through planning their days with guided questions. (Prototype: https://youtu.be/XvAysyff-B4?si=FskraYndzU02_OY5)

• Broke down user research into core feature set, and worked across the stack from front-end components to back-end business logic and database schema to infrastructure to build the MVP
• Improved performance on UI with list virtualization and component memoization, reducing number of longer duration commits on React (e.g. 60-80 ms) by 88% from 45 to 5 for average-sized user input
• Architected database schema for tracking historical data (goals on timeline page), evaluating scalability trade-offs of various solutions (e.g. cron jobs, table inheritance, tracking history by day rather than every edit)
• Built CI/CD pipeline that automated running schema migrations for version controlling changes to database, running integration tests with test database, and deploying app, all which increased development velocity
• Technologies – CSS, TypeScript, React, REST, Go, PostgreSQL, Docker, GitLab CI/CD, Netlify, Heroku

### Software Engineer @ Capital One
Jan 2019 – Jan 2020
Machine Learning Platform was a platform for engineers at Capital One to build, train, and deploy their models.

• Implemented dashboard using metrics from Kubernetes and Prometheus for users to track the cost of their infrastructure use on the platform, enabling them to stay within their team’s budget
• Developed on Kubernetes operator for platform, ensuring that all of the needed services were created for a user’s model on the platform (e.g. Jupyter notebook, Grafana dashboard, Dask cluster)
• Technologies – Go, Kubernetes, Prometheus, Grafana, AWS

### Software Engineer @ Capital One
Jan 2017 – Jan 2019
Invoice Advantage was an invoice financing app for small business customers of Capital One.

• Implemented reporting for business team to track changes to invoices for auditing, and improved performance of SQL queries over large tables by 59% from 11 sec to 4.5 sec via structuring queries to minimize sorting
• Led efforts to decouple integration tests from UI mock data, which decreased rate of CI/CD pipeline failures from dependencies between tests and resolved a common pain point among engineers on the team
• Implemented validation of CSVs of invoices imported from invoicing company via Lambda, reducing response time for errors by notifying business team whenever issues occurred with uploading invoices into system
• Implemented new calculations and refactored existing ones in rules engine, ensuring that all of the invoices in the system had their dollar amounts and statuses computed correctly
• Deployed and troubleshooted infrastructure of app, whose architecture was version controlled with CloudFormation and involved working with Route53, ELB, ECS, ASG, RDS, S3, IAM, and CloudWatch
• Technologies – CSS, TypeScript, Angular, REST, Go, PostgreSQL, Jenkins, Docker, AWS

### Software Engineer @ Capital One
Jan 2016 – Jan 2017
Capital One’s flagship iOS app allowed customers to view and manage their financial accounts.
	
• Led implementation of accessibility for investment products in app, and established accessibility standard among engineers as part of push from leadership for all features in app to be made accessible
• Architected and implemented API for users to view their cryptocurrency products on flagship iOS app, spearheading Capital One’s integration with cryptocurrency
• Technologies – iOS, Swift, Objective-C, TypeScript, Node, PostgreSQL, Jenkins, Docker, AWS


## Education
### Bachelor's in Biology in Minor in Computer Science
University of California, Berkeley
Jan 2011 – Jan 2015

### UX Design Bootcamp
General Assembly
Jan 2014 – Jan 2014

### Diamond Bar High School
Jan 2007 – Jan 2011


## Contact & Social
- LinkedIn: https://linkedin.com/in/shawnshuang

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Source: https://flows.cv/shawnshuang
JSON Resume: https://flows.cv/shawnshuang/resume.json
Last updated: 2026-03-23