Collaborated cross-functionally in an ambiguous environment to build 15+ greenfield prototypes/MVPs. Utilized low-code tools like Retool, Airtable and built full stack applications powered by public APIs or custom ETLs/APIs.

Languages/Frameworks/Tooling: Python, Django, Flask, Pandas, Pytest, Scrapy, SQL, SQLAlchemy, Alembic, Next.js, React, Mapbox, Tailwind CSS, Postgres, Airflow, Docker, Kubernetes, GitHub Actions, AWS, Vercel, Mapbox, LangChain, OpenAI, Zyte, Jupyter Notebook, Airtable, Retool, Notion, JIRA, Figma, Sentry, Mixpanel, and more.

> Designed and implemented a scalable backend for scraping 13k+ public school districts, supporting shared scrapers and integrating Airtable to help the product manager track and manage school district data.

> Built ETL pipeline to dedupe, clean, and enrich scraped data ensuring accurate and up-to-date postings.

> Implemented API endpoints for summary visualizations of 10+ years of EOIR data, enabling employees from 13 state offices and 30 national organizations to leverage time series insights and inform advocacy efforts.

> Refactored core (EOIR) data ETL and integrated OpenSearch index and Vercel cache resets to fully automate ETL process, fully removing manual engineering effort and improving reliability.

> Scraped state immigration data and prototyped RAG chatbot extension, validating feasibility of new feature.

I held two Graduate Assistantships while completing my degree.

I was a part-time Graduate Assistant for Dr. Hill, the Dean of the Seidenberg School throughout my masters degree. Dr. Hill and I collaborated on ad-hoc projects and student outreach.

After joining the Learning Center as a tutor, I returned as a part-time Graduate Assistant the following semester. At the NYC Learning Center I helped fellow Pace students better understand working with/using Excel, HTML, CSS, JavaScript, and Python. I also worked on ad-hoc projects and improvements to the tutor and student experience.