Vinay Peddisetti
Senior Embedded Software Developer at Capgemini Engineering
Based in Fullerton, United States
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Seniority
Staff
Department
Information Technology
Location
Fullerton
Industry
Engineering Services
Company size
45K
Contact information
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Background
About Vinay Peddisetti
I am a highly motivated and results-driven Computer Engineering graduate with a strong focus on embedded systems and device driver development. My educational background at California State University, Fullerton, has equipped me with a solid foundation in computer engineering and a diverse skill set. In my academic journey, I have gained a deep understanding of rapid prototyping of IoT, microcontroller and microprocessor applications, computer architecture, cyber-physical systems, security, artificial intelligence, and real-time operating systems. My technical skills encompass various programming languages, including C, C++, Python, and Linux system programming. I am proficient in HDL (Verilog) and have hands-on experience with various tools such as Proteus, Matlab, ModelSim, and more. I have a strong command of communication protocols, including UART, I2C, SPI, BLE, CAN, USB, TCP/IP, and FlexRay. My project experience reflects my passion for solving real-world problems. Notable projects include the development of a Smart Pill Dispenser and Smart Cup system for aiding homeless individuals, the creation of a Linux character device driver for LCD interfacing, the design of a Smart Trash Bin for efficient waste management, and the development of a CAN-based vehicle telemetry system. My professional journey has been enriched with work at Sasken Technologies in Bengaluru, India. As a System Software Engineer, I contributed to the development and maintenance of C++ software for satellite Hub and Terminal devices on the Linux platform, integrating networking core protocols. I also played a key role in implementing efficient test automation using the Robot framework to enhance software quality. As an IC Design Engineer, I developed tools for advanced hardware architectures and improved a Python-based Convolutional Neural Network Compiler for FPGA Accelerator. I am excited about the potential for continued growth and innovation in embedded systems and device driver development. Let's connect and explore opportunities to collaborate on cutting-edge projects and drive technological advancements together.
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