• Reviewed and evaluated AI-generated code from Large Language Models (LLMs) using side-by-side scoring frameworks, maintaining a 100% bug-free validation record

• Wrote Python, Java, and C++ code to validate model-generated outputs, improving execution speed and accuracy

• Designed and executed unit, integration, and performance tests to enhance model reliability and minimize errors

• Led full-stack development of the account dashboard for a non-profit agro-trading platform, optimizing database queries via Django ORM to support 100+ concurrent users and improve system performance

• Designed reusable front-end components using TypeScript and Next.js, for more dynamic and responsive user interactions

• Utilized Docker containers to maintain consistent testing environments and streamline developer onboarding

• Built 3 full stack applications with various languages/frameworks including JavaScript, Python, React, Node, Postgres, Flask, and more

• Dedicated 6 months and 1000+ hours

• Documented medical history of over 500 patients with records encompassing Past Medical History (PMHx), and Previous Surgical History (PSurgHx)

• Collaborated closely with medical professionals in accessing test results