Iot Research Engineer
• Involved in the engineering of HVAC systems for cabin environments, focusing on resolving issues related to excessive cooling or heating that affects human comfort• Utilize sensor fusion and data analytics to accurately determine the thermal energy required in cabin settings, while ensuring passenger comfort with precise control logic based on various parameters• Engage in HVAC engineering research, incorporating Machine Learning AI models to enhance system efficiency and effectiveness• Involved in different phases of project simulator development, including the full Software Development Life Cycle (SDLC), from initial development, debugging, refinement, and testing, to troubleshooting and making necessary adjustments at each stage of the project• Handle real-time data processing from various programs and sensors, alongside the training of machine learning models to improve system performance and accuracy with various ML models• Implemented version control of codes through Git and GitHub, ensuring a systematic and organized approach to code management