• Conducted in-depth data analysis on component failure datasets using Python, developing scripts and algorithms to identify root causes and failure patterns, enabling targeted firmware code improvements.

• Automated firmware regression testing process, replacing manual test procedures with scripted workflows that reduced testing time, improved coverage, and increased release reliability.

• Provided technical mentorship, offering support and knowledge-sharing to help junior team members ramp up on projects.

• Developed firmware for embedded controllers, implementing advanced control algorithms and designing state machines to operate solid oxide fuel cell systems, enabling clean and efficient electricity generation.

• Utilized object-oriented programming in MATLAB along with code generation tools to parse C code and produce optimized binary files.

• Enhanced performance and reliability of customer energy servers by identifying and resolving embedded controller bugs through comprehensive unit testing and system-level validation.

• Designed and deployed HMI interfaces in Ignition to expose critical tags, enabling secure remote monitoring and control of fuel cell systems.

• Automated system reliability testing by creating Python scripts that leveraged APIs, improving test coverage, efficiency, and accuracy.

• Built a data collection and simulation pipeline to ingest real-world field data, replicate operational events in a simulator, and optimize system performance through detailed analysis.

• Devised optimal strategies for supplemental lighting control in greenhouses using nonlinear convex optimization (CVXPY) and reinforcement learning in Python leading to 33% reduction in electricity costs while maintaining plant growth.

• Implemented the optimal supplemental lighting strategy in a research greenhouse by Raspberry Pi using Debian Linux while monitoring plant growth through processing plant images in PlantCV.

• Enhanced sunlight prediction used in the strategy by incorporating Bayesian Neural Networks, thereby increasing cost reduction.

• Built a model to estimate airflow of solid oxide fuel cell systems using optimization tools.

• Validated the model for all operating ranges through statistical analysis in Python.