Prakash Srivastava

About Prakash Srivastava

Artificial Intelligence- • Experience with Data science and Machine learning (supervised and unsupervised). • Experience in training and fine-tuning deep neural networks (CNNs, RNNs, LSTMs, Transformers). • Model optimization techniques such as quantization, pruning, and knowledge distillation for edge and cloud deployment. • Hands-on experience with PyTorch, TensorFlow, and Keras frameworks. • Development of real-time object detection and tracking using YOLO, SSD, and Faster R-CNN. • Experience in time-series forecasting and predictive analytics with machine learning. ADAS – • Hands-on experience with ADAS sensor technologies including camera, radar, LiDAR, and ultrasonic sensors. • Skilled in ADAS scenario simulation and integration with deep learning pipelines for training and validation. • Proficient in ADAS software architecture, model-based design, and Matlab/Simulink for SiL environments. • Strong background in simulation, testing, validation, and calibration techniques for ADAS functionalities. Crash and safety- • Extensive work experience in automotive crash and safety. Twelve years worked in Germany. • Assessment of existing car and cost analysis of design modifications, as per legal and NCAP requirements. • Extensive work experiences in simulation and testing of the full car as per Euro NCAP, Asian NCAP, FMVSS GlobalNCAP and legal regulations. • Expertise in Occupant Safety, Child Safety and Pedestrian Safety. Covers 80 points of EuroNcap. • Sixteen years of work experiences in development and testing of restraint system (like airbags, and belt-sys with pretensioner, retractor and load limiter). • Extensive experiences in design and development of automotive subassemblies and validating the crash results for the fulfilment of 5 Star ratings worldwide. • Experiences in testing of full car against all front and side crash tests to meet all international crash regulations/NCAP requirements. • Practical and hands on experiences in design and development of automotive sub-assemblies (like seat, IP, restraint sys) as per standard crash regulations and load cases. • Worldwide network with OEMs, Service providers and automotive testing Labs. • Worked inhouse and onsite with several OEMs like VW, Daimler, Continental Safety Eng, Ford, Porsche, MBtech Germany (Now AKKA Group) and Bugatti. • Sound knowledge of NVH. • Good experiences with FEM solvers, Ls-Dyna, Pam-Crash, Radioss and pre-processors, Ansa, HM. • Project co-ordination, Team handling and international customer handling. • Fluent German and English.

Experience

1. Director (Ai, Adas & Cae)

   Aray Infosolutions

   Aug 2025 — Present · Pune, IN

Education

• Visvesvaraya Technological University

  Bachelor's degree

  1998 — 2002

• Universität Duisburg-Essen, Standort Essen

  Master's degree (Regular)

  2013 — 2015

• Central Institute of Tool Design

  Master certificate in tool design

  2002 — 2003