Parag Anand Rajne — Associate Partner

• Technically proficient Principal Solution Architect with 18+ years of experience in automotive controls for AD/ADAS, chassis, EV drivetrain, body, and HVAC. • Strong technical skills coupled with excellent project/program management and coordination abilities. • Lead AI and SDV-driven Smart Chassis Programs and Solutions tailored to diverse OEM requirements, emphasizing AI-powered feature innovation, integrated chassis control, service-oriented architecture (SOA), and Adaptive as well as Classic AutoSAR-based development • AI Enthusiast and Self-Learner completed training in AI-ML-DL using TensorFlow, Python, and OpenCV via Udemy, Google, and YouTube. o Linear Algebra, Probability Theory, Calculus o Linear Regression, Classifications (Binary, Multi Class) o ANN, CNN, RNN, Computer Vision o KNN, Binary & Regression Trees, Bootstrap Sampling, Random Forest, Boosting o Un-supervised Learning (K-Means, Agglomerative clustering) • Expertise in Model-Based Design (MBD), feature development, system and software engineering, and verification & validation (V&V). • Actively involved in technical demonstrations and workshops, as well as project proposals including resource and cost estimation. • Proficient in modeling and closed-loop simulation of vehicle control systems using MATLAB-Simulink and Stateflow. • Experience in Control Systems: Sliding Mode Controller, PI/PID. • Comprehensive expertise inon Kalman Filters, Path Planning Algorithms – A*, Dijkstra, DFS, BFS, RRT, RRT. • Extensive Feature Development Experience in: o AD/ADAS (ACC, AEB) o Chassis Domain (EPB, EPAS, Drive modes, Force on Demand, Next Gen. Integrated Chassis Controls) o EV (FOC-based motor control for mild hybrid vehicles) o Body & HVAC (HIL simulation and automation) • Recognized performer at KPIT Technologies Ltd. for 6 years, with multiple high Customer Satisfaction (CSAT) ratings. • Experienced in managing teams of 30+ individuals. • Digital design expertise: FPGA, hardware circuit design, power supply design.

Stackforce AI infers this person is a highly skilled Principal Solution Architect in the Automotive industry, specializing in ADAS and AI-driven solutions.

Location: Bengaluru, Karnataka, India

Experience: 18 yrs 5 mos