Chinmay Satish Shrivastav

Leading the development of deep learning and computer vision algorithms for ADAS features like Auto Valet Parking, Pedestrian/Vehicle Detection, Moving/Stationary Object Detection, 3D Surround View on Renesas V2H/V3H, and TI TDA4VM hardware platforms for several Japanese/European OEMs. Heading ADAS system and Data Fusion algorithm development using sensors like Camera, Ultrasonic, Lidar, and Radar. Development in C/C++, Python, and OpenVX with OS like Linux, QNX, INTEGRITY.

• Key work areas include overall system design; functional architecture development; feature portioning; and system level interactions with power control, networking, EDS, and hardware/software design • The scope of my team spans both the vehicle electrical system as a whole as well as development of sensor architecture. Head power distribution and management project for BEVs which involves designing software-based power moding architecture which can accommodate legacy architecture

• Contributed independently to a sophisticated on-site HW platform that interacts with robust API-driven cloud-based infrastructure • Prototyping, automation testing, software release management, and development using Python and C++ • Integrated low voltage and high voltage battery management units with power inverters by developing an RPI based communication method, built on MODBUS-RTU, MODBUS TCP/IP and CAN communication protocols

• Innovated a novel approach to selecting a destination for an autonomous wheelchair in an unmapped indoor environment by performing object detection and tracking it using a Camera, LIDAR, SLAM and ADAS sensors • Headed the perception aspects of the project and achieved dynamic localization without prior mapping while avoiding any nearby stationary or moving obstacles. Carried out software development in Python, C++, OpenCV, MATLAB and ROS.

• Graded, tutored and conducted class of 40 undergraduate students for ‘Electric Circuits’ course

• Single-handedly designed and built a current loop calibrator to reduce company’s expenditure on buying Masibus iCAL devices for testing purposes which alone costs over $500/unit • Analyzed loop calibrator designs and implemented a new cost-effective testing solution, by solely designing in CAD, PCB fabricating, and programming the device in embedded C Tools/Tech: Embedded C, OrCAD, MultiSim

• Performed end review of projects to verify successful completion of product development cycle stages • Analyzed component errors and validated control units using oscilloscopes, spectrum analyzers, protocol analyzers and DMMs • Collaborated with firmware team on industrial automation projects to learn Embedded C programming and interfacing of LCD, SSD, Motors and sensors with 32-bit microcontrollers. Assisted senior engineers in developing and designing low-level real time firmware in C

Computer Methods in Numerical Analysis, Analysis of Random Signals, Microprocessors and System Applications (ARM), Design Applications with Microcontroller and FPGA, Mixed Signal IC design, Digital Systems Design with VHDL, Introduction to Robotics, Microprogramming and Embedded Microprocessors