• Developed data engineering and machine learning solutions used to detect financial crime

• Developed optimization model and application for planning material production in the oil and gas industry

• Conducting algorithm and data structures interviews to hire industry forward deployed software engineering candidates

• Worked on the Ledger Technology team developing APIs and real-time solutions for client financial markets transaction data using Spring and Apache Kafka

• Developed real-time client ledger monitoring dashboard using TypeScript, React, and Spring Boot.

• Introduced and deployed a Kafka Schema Registry application used for delivery of intra-day reporting data to prime brokerage clients

• Designed active prediction system architecture using Spring (Java), PostgreSQL, and AWS ECS/EC2

• Conducted Data Structures and Frontend Engineering interviews to hire 4+ Software Engineers during angel and seed funding rounds

• Managed engineering efforts in delivering Better's React Native MVP and onwards to the Apple App Store

• Architected Better's live prediction data streaming using GraphQL

• Designed Better's proprietary prediction management application used by internal content curators

• Worked on the Ledgers Engineering team developing transaction anomaly detection rules using Apache Spark.

• Responsible for migrating legacy data processing instances to Spark, contributing to $4 million/year in savings.

• Improved task dependency graph manager for end-to-end testing of anomaly detection rules.

• Led 8-week NodeJS API development courses containing 50+ students, teaching JavaScript and SQL

• Instructed and assisted Codecademy Pro learners throughout frontend JavaScript and React development exercises.

• Reviewed and graded learners’ front end and back end development projects