Umashankar Sivasubramanian
Project Associate @Cdacindia
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WORK HISTORY
Project Associate @Cdacindia
Bengaluru, IN
Electronic speed controller
EDUCATION
Centre for Development of Advanced Computing (C-DAC)
Postgraduate Diploma, Embedded system
A.R.J. College of Engineering and Technology
Bachelor of Engineering - BE, Electrical and Electronics Engineering
ABOUT UMASHANKAR SIVASUBRAMANIAN
I am a highly motivated Embedded Systems Engineer with a strong foundation in Electrical and Electronics Engineering, complemented by specialized training in Embedded Systems from CDAC Bangalore Upskilling Centre.Embedded Systems course at CDAC Bangalore Upskilling Centre, where I deepened my expertise in: Embedded C & Microcontroller Interfaces – STM32, ESP32, BeagleBoard, CDAC Indus Board Communication Protocols – CAN, I2C, SPI,UARTAutomotive - LIN,ADAS With LIDAR,MOST AND EMBEDDED AI FOR ADAS,AUTOSAR BASICS AND AUTOMOTIVE ETHERNET Embedded & Real-Time Operating Systems – Linux device drivers, RTOS for STM32 IoT Protocols & Embedded AI – YOLO, deep learning, object detection,lorawan,zigbee, Bluetooth,ipv4/ipv6 Core Expertise Embedded Systems & Microcontroller ProgrammingProficient in Embedded C for firmware development and microcontroller-based applicationsExperience with STM32, ESP32, BeagleBoard, and CDAC Indus BoardExpertise in designing real-time and high-efficiency embedded applications Communication Protocols & Hardware InterfacesStrong knowledge of CAN, I2C, SPI, UART, and other essential communication protocolsExperience in developing driver-level firmware for seamless hardware integration Real-Time & Embedded Operating SystemsIn-depth understanding of RTOS concepts for embedded applicationsHands-on experience with Linux device drivers and real-time scheduling on STM32 IoT & Embedded AIProficiency in IoT protocols and their integration with embedded platformsExpertise in AI-driven embedded systems, including:YOLO (You Only Look Once) for object detectionDeep learning models optimized for edge computingTensorFlow Lite for Microcontrollers (TFLM) Data Structures & AlgorithmsStrong foundation in data structures (linked lists, trees, queues, stacks)Optimized algorithms for efficient memory and processing in embedded environments Achievements & Recognitions:Consistent Rank Holder throughout my academic journey. My Vision & Career Goals:I am passionate about pushing the boundaries of embedded technology by integrating AI-driven intelligence, efficient hardware communication, and optimized real-time systems. I aim to contribute my expertise to cutting-edge projects in autonomous systems, industrial automation, and IoT-enabled embedded solutions.I am always open to collaborating with like-minded professionals and organizations that value innovation, efficiency, and real-world impact. Let’s connect and explore opportunities to drive technological advancements together!
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