• Developed backend services and APIs using Python and FastAPI for scalable web applications
• Built responsive frontend interfaces and components using Vue.js
• Integrated frontend and backend systems to support efficient data flow and application functionality
• Worked with Amazon Web Services cloud services for deployment, storage, and application infrastructure
• Designed and tested RESTful API endpoints for internal engineering and software workflows
• Collaborated with developers using Git based version control and agile development practices
• Assisted in debugging, performance optimization, and improving overall software reliability

• Developed access control and permission management features for engineering collaboration workflows

• Built frontend components and interfaces using React

• Developed backend services and APIs using FastAPI and Flask

• Worked with GraphQL APIs to support flexible data querying and frontend integration

• Wrote and maintained automated tests using pytest to improve software reliability and code quality

• Collaborated with engineers in an agile development environment using Git based workflows and code reviews

• Assisted in debugging, feature implementation, and improving application performance across the stack

AIDE is a capstone project focused on AI-assisted analog circuit design, specifically targeting a two-stage amplifier. The goal of the project is to fine-tune and evaluate large language models (LLMs) to generate sizing recommendations from circuit netlists and target specifications (e.g., gain, bandwidth, phase margin, power).