Bubble Capture Study

• Characterized bubble formation behavior during laser interactions, requiring high-precision hardware control and real-time data capture.

• Programmed STM32 microcontroller using Embedded C/C++ to coordinate hardware (DAC, PWM, timers, USB) with nanosecond- and micron-level precision using interrupts and DMA.

• Integrated with Python-based host PC to conduct experiments using computer vision techniques.

Automated Cell Culture Platform

• Developed an automated R&D workcell integrating off-the-shelf robotics and custom electronics for iPSC culture.

• Collaborated with biologists and engineers to gather requirements, define APIs, and enhance system reliability as a mission-critical tool.

• Developed a Python controller with modular APIs, conducting software-hardware integration tests.

• Architected the codebase to align with cloud services using Python’s asyncio for I/O-bound operations and integrated with Google Cloud (Pub/Sub, Cloud Logging).

• Documented system setup, API references, and user guides using Sphinx and GitHub Actions.

• Won a $1,000 Babson Foundry Fellowship for a branch project ‘EduPonics” to create an educational kit for middle schools in the Boston area.

• Create a REST API for a scalable automated hydroponics system using FastAPI

• Using GitHub for CI/CD process in automated AWS Lambda Function deployment

• Store data in a NoSQL Database using MongoDB, communicate with a microcontroller connected to sensors and actuators, and send real-time data to a front-end dashboard

• Initiated Sustainable Building Maintenance project to integrate Fault Detection and Diagnostics across campus

• Researching protocols that analyze relationships in the building automation system

• Communicating with stakeholders on campus to survey design requirements

• Capture key student life and academic moments on camera and process them into publishable content for outreach

• Create Instagram reels, photographs for newsletters and social media