• Worked on Developing a Distributed System of NVIDIA-Jetsons to carry out complex Image processing pipelines in a distributed manner.

• Designed and Implemented a JSON-RPC based server and developed core APIs in C++ that are responsible for executing complex computation from a client over the network.

• Dockerizied the server resulting in easy CI and deployment of applications in the Distributed System.

• Implemented a simple Image Thresholding pipeline utilizing GPU acceleration using CUDA and integrated with the existing camera framework.

• Established Agile development methodology in the team resulting in a massive increase in the development throughput of the project.

• Designed Galen’s System Architecture to meet operational requirements, such as scalability, security, reliability, flexibility, etc.

• Designed and implemented core functionalities such as server-client communication and UX/UI using Qt framework in C++ and QML.

• Successfully integrated Pulse-Oximetry, Temperature, and BCG sensors with Galen and deployed Galen software on Raspberry-pi4.

• Successfully integrated RadioMetric-Compensation (RC), a colour correction feature, in Mystique, using C++.

• Developed an intuitive GUI using Qt to control RC without exposing much of the complexities.

• Parallelized the entire RC pipeline resulting in a 75% overall improvement in performance.

• Implemented a LRU cache in C and integrated it into the bootloader resource manager, running on QNX, making write/read operations 30% faster.

• Investigated DMA, interrupt latency, LSPI, and POWER_MODEs performance of the NXP-S32K family SoC on ECUs, used EB-Tresos for driver configurations and generation of AUTOSAR software stack.