Experience

Robinhood

Software Engineer II
Mar 2024 - Present
Menlo Park, CA

Software Engineer
Aug 2022 - Feb 2024
Menlo Park, CA

Team: Money Movement
Currently building seamless and integrated payment features for the Robinhood Gold Credit Card
Built and launched Robinhood’s instant bank deposit payment rail, known in the industry as Request for Payment, bringing in >$1B in deposit volume since launch
Re-architected a highly extensible and resilient payments state machine framework that is now used by multiple payment rails at Robinhood
Led numerous engineering initiatives to reduce tech debt and improve efficiency across the entire payments stack:
- Sharded Robinhood’s ACH bank transfer completion Airflow DAG that processes ∼300k transfers from NACHA files everyday, reducing processing time from ∼1h45m to ∼35m and ensuring that users’ funds are settled before market open for trading
- Deprecated and deleted remnants of Robinhood’s legacy ACH bank transfer logic from a previously monolithic architecture and moved it to the newer internal payments service as part of a high-risk migration without causing a single outage
- Improved the max P90 latency of one of the highest traffic endpoints in the Robinhood app that shows users’ bank accounts from ∼845ms to ∼142ms by rewriting the looping logic efficiently
Skills: Golang, Python, Apache Kafka, Apache Airflow, Kubernetes, Docker, AWS, PostgreSQL, Grafana, Humio, Postman

Lead Software Engineer
Jun 2021 - Oct 2021
Seattle, WA

Built the user profiling functionality and a heuristic content recommendation algorithm using Flutter and a Cloud Firestore database on Firebase
Developed database management consoles using Node.js and React.js, resulting in a 75% reduction in data entry time for content developers
Built a Python data pipeline using Apache Spark to populate an Azure Cognitive Search Index with data from the College Scorecard and IPEDS datasets
Built an automated Python web scraper using Selenium to scrape non-copyrighted college campus images from Google Images
Cledge was picked up by Microsoft for Startups in July 2021
Skills: Python, Microsoft Azure, Firebase, Apache Spark, Pandas, TypeScript, JavaScript, HTML, CSS, Selenium, Node.js, Express, React.js, Jupyter, Flutter

Software Engineer Intern
Jun 2020 - Sep 2020
Redmond, WA

Developed both static and dynamic web content to showcase Parv.ai, an educational startup platform that harnesses artificial intelligence and machine learning techniques to perform content recommendation algorithms on MOOCs from providers including Udemy and edX
Skills: Microsoft Azure, JavaScript, HTML, CSS, Node.js, React.js

CodeLabs Intern
Jul 2020 - Aug 2020
Remote

Built a resume classification platform to predict job categories of resumes using NLP techniques
Implemented a data processing pipeline to extract meaningful content from resume text
Conducted project development in an Agile environment
Developed a multi-class convolutional neural network to classify processed resumes, achieving 87% test accuracy
Integrated the data processing pipeline and neural network in a web server deployed on Heroku
Skills: Python, TensorFlow, NLTK, JavaScript, HTML, CSS, Node.js, Express, Jupyter

Software Engineer Intern
Aug 2019 - Sep 2019
Bellevue, WA

Developed a cross platform application on a Raspberry Pi 4 to snapshot a conference room at regular intervals and gain insights into conference room usage throughout the work day
Leveraged Cognitive Services’ Computer Vision API and Face API for human detection and facial recognition analysis on snapshots
Populated a key-value store and a data lake with time-stamped analysis results and snapshots
Implemented offline human detection with Haar Cascade classifiers to optimize API calls, reducing application cost by 90%
Documented product development process and dependencies
Skills: Microsoft Azure, OpenCV, C#, Raspberry Pi