• Built and optimized ATS integration pipelines, increasing successful job ingestion coverage by 5%+ and enabling processing of hundreds of new job postings per run through dlt and dbt.

• Created 7 Dagster assets/sensors to automate ETL workflows/long-run monitors, reducing manual intervention 50%+

• Increased ingestion throughput by optimizing scraping logic and API handling, improving processing speed by 30–40%.

• Trained LLMs using Reinforcement Learning from Human Feedback, improving instruction-following accuracy by 20%.

• Evaluated 1M+ tokens across multiple datasets, surfacing 300+ instruction-following errors.

• Refactored 3+ AI models to generate more precise and succinct output.

• Lead developer on IDEA team software development, delivering 3 full-cycle applications.

• Created 3 business/entrepreneurship GenAI Python apps, adopted by 50+ students and professors in coursework.

• Conducted research on 10+ existing AI tools and technologies.

• Created and deployed 2 generative AI Thunkable apps, one of which was featured on the site’s front page.

• Lead developer on a full-stack PeopleMuseum project app and built a codebase of over 5,000 lines of code.

• Used React JS to create front-end UI, achieving load times under 2 seconds with optimized API connections.

• Worked on a team with 5+ graduate students and professors, delivering 100% of milestones on schedule.