• Develop ML sensing and control solutions spanning hardware selection, firmware-level inference, and CAN bus integration for intelligent brake-by-wire systems

• Benchmark and evaluate embedded edge AI platforms across automotive MCU architectures, optimizing real-time inference performance against safety-critical latency and resource constraints

• Prototype sensor-to-actuator pipelines for real-time environmental classification, bridging physical sensing hardware with vehicle control software

• Integrate mechatronic subsystems with cloud infrastructure for connected vehicle interfaces, including 5G V2X platforms

• Establish measurement and calibration workflows using Vector tools including CANape & CANalyzer for ECU-level data processing, signal analysis, and validation of embedded control algorithms on instrumented test vehicles

• Design and instrument vehicle-level field test campaigns for novel optical sensing systems, including distributed data acquisition and synchronization pipelines

• Build internal R&D tooling and workflows to accelerate iteration including evaluation frameworks and development environments

• Collaborate with universities on cross-disciplinary academic research to inform long-term technology and product roadmap

• Apply and explore data science solutions to extract insights from meaningful and diverse datasets across automotive domain

As an Applications Engineer at Flexiv, I drove the deployment of adaptive robotic solutions across parts assembly, surface treatment, medical robotics, agriculture, and embodied-AI research. I developed proof-of-concept (POC) workcells to evaluate feasibility and demonstrate system capabilities, working closely with R&D, Sales, and global integrators to accelerate customer deployments. I delivered full-stack turnkey solutions, Git-based templates, technical training, and after-sales support that reduced integration bugs and enabled same-day system upgrades. Additionally, I authored documentation for the Python SDK/API to streamline developer onboarding, while contributing to the company's ROS2 repository to broaden adoption across robotics research labs and industrial partners. I also managed the spare parts inventory and the hardware lab.

• Developed an autonomous parking system for a differential-drive Amiga farming tractor.

• Implemented a Nonlinear controller and two PI controllers in simulation using MATLAB and CoppeliaSim.

• Applied Lyapunov stability theory to design a stable and accurate path tracking.

• Conducted analysis on tractor path tracking and stability, identifying optimized feedback control strategies.

• Designed 2 nested feedback controllers for handling the linear velocity control and turning rate control to achieve desired vehicle kinematics.

• Modeled a Nonlinear controller to provide steering inputs to the PI controllers to steer the vehicle in a stable and convergent manner.

• Designed and tested a high power rocket airframe through CAD, 3D printing, and CNC routing.

• Competed for UC Santa Cruz at NASA Student Launch Competition with a sub-frame rocket and a full-frame rocket.

• Assembled the rocket, installed the motor, assisted in flight testing in simulated environment (OpenRocket). Collaborated with colleagues on the Preliminary Design Report, Critical Design Report, and Flight Readiness Review.

• Presented the results to judges at NASA Student Launch Competition.

• Captured compelling visuals for news articles, events, feature stories, and magazines by covering sports, businesses, government meetings, and cultural festivals.

• Collaborated with reporters and editors to align imagery with narratives to deliver high-quality photos under tight deadlines.

• Mastered in image and video post-processing.

• Adapted to diverse environments to produce impactful images for print and digital media.

• Managed live event coverage, real-time photo delivery, and archive organization to support newsroom operations efficiently.