Summary
Aniket Dhar is an Embedded AI Lead Engineer with 9 years of experience building production-grade perception and localization systems for automotive ADAS, consumer electronics and healthcare. He specializes in camera and LiDAR-based localization, sensor fusion, and real-time deep learning on embedded platforms, having deployed modules on prototype vehicles using C++, ROS2, PyTorch and Docker. At DENSO he led projects from data acquisition and MLOps to deployment—implementing static landmark detection, road geometry estimation and sensor-agnostic localization pipelines that informed suspension and driver assistance features. He combines a strong software-engineering foundation from Samsung with hands-on ML research from TU Delft, enabling him to bridge academic techniques (e.g., rotational-invariant filters, semantic segmentation) to robust edge deployments. As a Product Owner and team lead he’s delivered cross-functional milestones, mentored junior engineers and optimized workflows with tools like Weights & Biases and CI/CD. Based in Hamburg, he’s now focused on squeezing ADAS models into constrained automotive processors while retaining real-world reliability.
9 years of coding experience
9 years of employment as a software developer
High School, High School at Shishu Bihar HS School
Master of Science - MS Embedded Systems, Master of Science - MS Embedded Systems at Delft University of Technology
Bachelor’s Degree Electronics and Communication Engineering, Bachelor’s Degree Electronics and Communication Engineering at National Institute of Technology Agartala
English, Hindi, German, Bengali