● Engineered and maintained a distributed web scraping framework that aggregates 10+ GB/day live sports betting data from major sportsbooks (including DraftKings, FanDuel, BetMGM) with robust error handling and scheduling.

● Leveraged SQLAlchemy, Alembic, and PostgreSQL to create and integrate a fault-tolerant data pipeline with automated recovery and retry logic, ensuring continuous operation across dozens of scrapers.

● Designed data workflows that reduced latency by ~35% and increased data integrity, improving the accuracy and timeliness of alpha-generating market analytics.

● Collaborated in an Agile development environment, using Linear for sprint planning, issue tracking, and cross-functional coordination.

● Prepared and facilitated engaging math and computer science modules, incorporating real-world applications, boosting student engagement by 60% as measured by student participation and classwork completion rates.

● Managed 10+ students, teaching topics including Pre-Algebra, Calculus, Linear Algebra, and Introduction to Intermediate Computer Science.

● Achieved an average grade improvement of 1.5 letter grades within three months by tailoring instruction to individual learning styles and academic goals.

● Containerized FastAPI microservices and PostgreSQL databases using Docker, reducing environment setup time by ~70% and ensuring consistency across 3 deployment environments.

● Built and automated a CI/CD pipeline with GitHub Actions, cutting downtime from ~3 minutes to under 10 seconds, and enabling continuous deployments without manual intervention.

● Coded a real-time monitoring dashboard for FastAPI applications and Docker containers, improving system visibility and reducing debugging time by ~40%.

● Partnered with lead engineer to implement a new caching strategy for frequently accessed data, reducing database load by 30% and improving application responsiveness.

Fall 2020: Calculus II for the Mathematical and Physical Sciences

● Attend recitation and help students learn the material

● Facilitate small learning groups for students to engage in active learning

● Developed bimonthly Python scripts to automate SEO issues

● Analyzed thousands of pages' metadata with Python

● Wrote support documentation and tutorials

● Created and published SEO rules for clients using the RankSense tool