Omkar Tulaskar

Variant-rich Advanced Driver Assistance System using ROS2 and CARLA - The project focuses on development of functions of ADAS as independent ROS2 nodes running inside Docker - Variants of ADAS shall be generated by orchestrating these nodes based on the functions selected and shall be connected in loop with CARLA for sensor & actuator simulation - CARLA shall be connected with AI based testing pipeline infrastructure that shall validate these variants and provide feedback on the results using fixed KPIs

- Understanding & developing ISO 15118-2 protocol for V2G communication in C++ using design patterns while ensuring scalibility to ISO 15118-20 protocol - Worked with algorithm for hierarchical management of load distribution and enable optimized balancing of power

-Responsible for Battery Management Systems Firmware Development. -Designing of Safety critical Algorithms. -Distributed Battery Management strategies (Paralleling). - FMEA, software architecture to comply with ISO 26262, ASIL C -Worked on SOC & SOH Algorithms. -Understanding of MISRA, HiL, SiL, Unit Testing & Integration Testing Customers : - BeePlanet, Energy Storage Application. - Ray Electric, HERO TCG GmbH : 2-Wheeler Application. - Wamtechnik, Wackerneuson : Electric Excavator Application.

Lab 201, VESIT - Responsible for leading a team of 30 members including juniors. - Guiding the juniors for various projects at a student level and on a way to establish a place to bring students from different sections under one roof to build product level projects. - Conducted workshops on "Embedded Systems & IoT", "STM32 based development" and "PCB Designing" for Juniors to equip them with information and resources for starting their own projects and gain hands-on experience in project development

- Developed a working solution on Student Verification System using RFID. - The system included using python GUI for developing the software on Linux. The complete backend was connected to a dummy student's database. - On placing the students RFID card, the system detected the unique ID and queried the same to the database on a local server. - The server responded with the details of that particular student which were displayed on the Linux software developed using python for Raspberry Pi.