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.