HIMANSHU PRADEEP

Passionate Automotive Software Engineer

{ AI x Engineering }

Specialized in Systems Engineering and ADAS/AD

About Me 🧠

A pure automotive enthusiast and a result oriented Automotive Systems Engineer - ADAS Control Function Developer with years of experience in Automotive Industry and E/E System development, Requirements engineering, Integration Testing, and Vehicle Validation for ADAS and Autonomous Driving. Proficient in Python, MATLAB, and CAN tools (Vector CANoe, CANalyzer, CANape), with hands-on exposure to simulation platforms like IPG CarMaker and in-vehicle networks including CAN, LIN, FlexRay, and Ethernet. Skilled in debugging complex ECU interactions, analysing vehicle CAN signals, and ensuring robust system-level validation with Euro Class B Driver’s License. Passionate about advancing safe and intelligent mobility through Autonomous Driving, Software Defined Vehicles, Model-Based Systems Engineering (MBSE), and next-generation E-mobility technologies.

I am currently writing my Master thesis at Mercedes Benz AG and in my final semester of M.Sc in Mobility Systems Engineering (ADAS and Autonomous Driving) at Karlsruhe Institute of technology, Germany.

Skill Set 👨‍💻

Programming Languages : Basic C++,CAPL, Python.

Communication Protocols : CAN, CAN FD, Ethernet and LIN

Simulation Tools : Carla, IPG CarMaker, VISSIM

Computer Vision: 4D LIDAR Perception, Multi Object Tracking, Road Scene Recognition

Software Tools : Vector CANoe, CANalyzer, CANape

Hardware Tools: Engine ECU, Transmission, Interior SAM, RADAR, CAMERA, LIDAR.

SysML Modeling : UML, SysML, CAMEO, Enterprise Architect, System Composer

Application Softwares : MATLAB, SciLab

Mathworks : Automated Driving Toolbox, Simulink, Stateflow, System Composer

Dev-Ops Tools: Github, GitLab

MIL/SIL : Simulink Test Manager

Configuration Management : PTC Integrity Lifecycle Manager, Integrity Modeler, Doors

Documentation Tools : MS Word, MS PowerPoint, MS Excel, Confluence

Professional Qualities: 💼

+ Strong technical proficiency capable of leading dynamic teams or contributing as a valuable team member.

+ Advocated for decentralisation and swift decision-making, prioritising comprehensive input consideration, loyalty, and empathy towards team members.

+ Embraces honesty, truthfulness, and self-awareness as fundamental personal qualities, committed to upholding these principles in professional conduct.

+ Passionate and self-motivated engineer driven by a desire to tackle complex challenges, particularly in the realms of self-driving cars and intelligent autonomous systems.

GitHub • LinkedIn • Twitter

UNIVERSITY PROJECTS 🎓

Prompt2Scene : Automatic ADAS Scenario Generator

Prompt2Scene is a AI Python application for generating autonomous driving scenarios using advanced NLP and large language models. Now equipped with cloud-connected LLMs like DeepSeek and OpenAI, the system can interpret complex prompts and produce structured outputs in OpenSCENARIO (.xosc) and OpenDRIVE (.xodr) formats with remarkable precision.

ADAS and Autonomous Driving Project : Platooning

Designed a functional code applying the principles of formal Software Development Life Cycle workflow structure to plan, prepare, build and test the robot software to follow the sign of an Aruco Marker ahead while operating under the constraints of constant speed to variable speed based on the distance to the marker, quick recognition of the correct marker, adequate braking when marker was out of sight.

Legacy Trace : Automated Requirements Extraction Tool

Built an AI-powered Python application that extract high-level system and function-specific requirements directly from legacy C, C++, JavaScript and Python codebases helping engineering teams in the automotive industry. This workflow accelerates requirement traceability, refactoring, and modernization enabling safer, more agile, and standards-compliant product development.

Github - ADAS/AD Scenario Generator

Project - ADAS/AD Platooning

Github - Automated Requirements Extraction

SMART PAUSE - Intelligent Downtime Documentation

Secured 2nd Place for the product we built, SMART PAUSE APP to solve industry downtime documentation issues and diagnosis automation at Mercedes Benz - KIT Business Pitch at Sindelfingen, Germany

ISO 26262 Functional Safety Requirements Extractor Tool

Built an offline Python application that reads ISO 26262 document or any automotive safety regulation and automatically pulls out safety requirements, showing their ASIL level, fault tolerant timing, and safe-state details.

Vector CANoe and CANalyzer Projects : AEBS, CC, TPMS

A CAN-based ECU simulation for many ECU interactions like Engine ECU, Airbag ECU, Brakes ECU, HMI ECU with many signals and messages. Includes simulation, DBC creation, panel design & CAPL scripting for real-time monitoring & control.

LinkedIn - Intelligent Downtime Documentation

Github - Safety Requirement Extractor

Github - Vector CANoe & CANalyzer Projects