Experience
Applied Materials Inc.
Systems Engineer II (Advanced Control) | Jun 2025 – Present | Santa Clara, California
- Developing a Python/C++ automation stack to accelerate control loop calibration and tuning across multiple tool and chamber families.
- Emphasizing improvement in tracking performance, disturbance rejection, and reducing manual commissioning effort.
- Implemented software for new throttle valve and pressure control applications, collaborating with internal customers to ensure stable chamber operations.
- Drafted technical specifications and developed Embedded C firmware on STM32/Win-RT platforms, including closed-loop control, flow estimation algorithms, and fault handling.
- Authored over 20 technical workflow documents enabling structured AI-based parsing for internal technical support.
Magna International Inc.
Autonomous Driving Software Intern | Jun 2024 – Apr 2025 | Auburn Hills, Michigan
- Implemented ADAS features like Rear Collision Warning and Autonomous Emergency Braking in Simulink using Model-Based development.
- Conducted MiL, SiL, and in-vehicle HiL testing using CarMaker & Vector CANape.
- Developed production-level feature logic in C/C++ for Radar detection-based Pre-Crash Warning features (Side Crash Warning, Autonomous Emergency Steering).
- Aligned features with EURO NCAP 2026 and ISO 26262 safety standards.
- Designed a feature arbiter for Safe Stop by integrating Driver Attention signals with Adaptive Cruise Control (ACC).
- Developed an automated Python framework to compute KPIs like stopping distance and False Positives for AEBs.
Laboratory for Air Transportation (LATTICE), University of Michigan
Graduate Student Research Assistant - Bandits and RL | Sep 2023 – Sep 2024 | Ann Arbor, Michigan
- Developed a multi-armed bandit algorithm for adaptive environmental exploration using a Greedy Bayesian approach.
- Designed a real-time decision policy to optimize UAV fleet management, targeting safety and efficient deliveries.
- Implemented a Python framework to evaluate performance and fine-tuned hyperparameters with Factorial Design.
- Published findings in AIAA SciTech 2024.