• Designed, built, and maintained client-facing web applications/microservices in React enabled with secure payments to help onboard 100+ clients.
• Contributed new endpoints to company’s internal RESTful API and integrated third-party APIs with Flask.
• Created and maintained CI/CD and unit testing pipelines for company’s codebase and products in the cloud.
• Optimized company’s website with Next.js and deployed to Google Cloud, which increased increased customers and investors’ engagement.

This was an internship I did my junior year of college. I was tasked to research and develop a RAG application that aimed to parse documents and allow users to talk to an AI with documents for reference. My achievements:

• Developed an application that could plug in various LLMs, handled queries to vector databases, and had advanced prompt engineering techniques.
• Features included: multilingual support, multi-document support, paragraph referencing, and long-term memory to improve user experience.
• Served as a product manager role for student’s data science projects involving machine learning and web development.

• Created new data pipelines in SQL and Python for data +5 health plans.
• Designed custom SQL queries and Python scripts based off unique health plan specifications.
• Established new and automated data cleaning and format protocols to ensure quality of healthcare data.

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