• Helped enhance HDD validation to identify bugs and performance issues before release. Developed failure analysis automation tools.
• Built a full-stack internal tool that accelerated validation by 10x, using machine learning for failure prediction and identifying 10,000+ failures.
• Architected, trained, and deployed failure prediction model with NLP-based log analysis.
• Developed core infrastructure and REST API for cross-functional team access to validation and issue data.
• Collaborated with domain experts to implement a CI/CD pipeline with automated testing and deployment.

• Maintaining and building healthcare ERP for processing claims/authorizations and network managment for providers, members, and healthplans.
• Maintaining legacy healthcare system with .NET Framework and SQL Server.
• Migrating core business logic to new system.

• 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.

• Safely delivered customer’s order to their home with speed.
• Maintained 5-star customer rating.