Siddhartha Mukherjee

Background

About Siddhartha Mukherjee

AI and Robotics expert with 10+ years of experience in Security, Surveillance, UGV/UAV, Aerospace, and AD/SDV Enthusiast of Quantum Mechanics, focusing on its applications in Quantum Computing and Quantum AI. Played key roles as a Subject Matter Expert (SME) in ADAS/SDV Design and Solution Architect for cutting-edge systems. Senior Algorithm Specialist with extensive experience in Machine Learning, Deep Learning, Federative Learning, and Explainable AI. Expertise in Computer Vision, Signal Processing, Feature Engineering, and LLMs for innovative AI applications. Experience in 3-D modeling, 3-D Mapping, Point Cloud solutions, and Deep Learning Optimization for edge systems. Skilled in post-quantization techniques on Edge/Distributed Systems for optimized AI performance. Solution Architect in Embedded AI, planning and developing SDKs deployable on NVIDIA, Intel, Qualcomm, AWS GPUs. Worked extensively with hardware accelerators and sensors like LIDAR, GNSS, IMU, ROS, Ultrasonics, Proximity Sensors, and time-of-flight sensors. Expertise in control systems and embedded technologies, including microprocessors, microcontrollers, DSP, and instrumentation. Experienced in Physics-based game design on platforms like Unity, Carla, Rf-pro simulators, and Py-game for advanced HMI solutions. Led development of ADAS and SDV components, including designing ADAS features with Adasis HD Map messages. Hands-on experience with video management systems using GStreamer and Kurento for real-time data streaming. Proficient in programming with Modern C++ and Python, focusing on robust, scalable solutions. Expertise in CI/CD pipeline automation, integrating tools like Gerrit, Zull, and Jenkins for continuous delivery. Deep experience with Big Data ecosystems including Hadoop, Spark, MongoDB, and containerized environments with Docker and Kubernetes. Strong foundation in Discrete Mathematics, Statistics, and Probability, with a passion for Classical and Modern Physics. Familiarity with advanced camera calibration techniques, including coordinate mapping and multi-camera image blending (BEV, Bowl View). Expertise in cross-platform solution migration, creating abstraction layers for heterogeneous architecture using frameworks like SYCL. Enthusiast of Quantum Mechanics concepts such as superposition and entanglement, with an eye on future AI applications in Quantum ML.