Chandan Suar
Software Developer @Bosch
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WORK HISTORY
Software Developer @Bosch
Leonberg, DE
EDUCATION
Gandhi Engineering College (GEC), Bhubaneswar
Bachelor of Technology - BTech
ABOUT CHANDAN SUAR
About Passionate Automotive Software Engineer with over a decade of experience in Advanced Driver Assistance Systems (ADAS), driving innovation in perception and control systems for safer, smarter mobility. I specialize in developing and delivering complex ADAS features — from Adaptive Cruise Control (ACC) to advanced Situation Analysis (SIT) modules — ensuring safety, reliability, and performance across diverse OEM platforms- Project Highlights Successfully delivered 15 Chinese OEM projects for Adaptive Cruise Control (ACC) to SOP with zero defects. Led the ACC development for MG Astor, launched on Indian roads in 2021. Experience collaborating with premium European OEMs, including Volkswagen (VW) and Audi. Currently contributing to the Generation 6 RADAR SGU platform project, focusing on Situation Analysis (SIT) module development — improving radar perception accuracy by 30% through optimized SIT algorithms- 🧠 Technical Expertise ADAS Algorithms: Skilled in requirement analysis, design, and implementation of core ADAS functions such as ACC, AEB and SIT modules. Programming: Expert in C and C++ for embedded systems development. Standards & Processes: Deep understanding of ISO 26262 Functional Safety and ASPICE process compliance. Platforms & Hardware: Experience with radar-based sensing systems, environment perception, and ECU-level software integration- 🧩 Tools & Environments DOORS, GIT, SmartGit, JIRA, Bitbucket, Visual Studio Code, MKS, CANape, PlotStr, Measeval, Eclipse - 🤝 Leadership & Collaboration Mentored junior engineers in algorithm design and embedded software development. Collaborated with cross-functional teams (System, Software, Validation) for end-to-end feature delivery. Supported customer discussions and technical reviews to ensure alignment with system requirements and ASPICE standards- Focus Currently focused on advancing radar-based perception and decision-making systems that enable the next generation of autonomous and semi-autonomous driving technologies.
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