Amin Ravjani

ADAS Capability Development & Deployment (2022–Present)

• Spearheaded the strategic development of the company's ADAS simulation capabilities, establishing an end-to-end virtual validation ecosystem for Level 0 to Level 2 features using the dSPACE toolchain
• Developed Scenario Libraries for AIS/ECE & NCAP protocols, ensuring regulatory compliance and reusability across platforms.
• Proposed Cost-Benefit Framework linking ADAS adoption with insurance premium reduction, providing a business case for safety tech adoption.
• Architected a robust SOTIF simulation framework and strategy; deployed large-scale simulation campaigns on an in-house HPC cluster to validate system performance against critical edge-case scenarios.
• Engineered and delivered a novel Mileage Accumulation Framework for ADAS validation on commercial vehicles in India, a study now being prepared for publication at the upcoming SIAT conference.
• Pioneered the use of Pre-Crash Matrix data from real-world accidents for ADAS validation, developing a unique capability to simulate and validate system performance in actual crash-imminent scenarios.
• Prepared ADAS Lab Infrastructure Proposal, outlining phased investments for Model in Loop to Vehicle in Loop validation strategy.

Innovation & POC Leadership (2021–Present)

• Led Frugal Vision-Based ADAS project – a cost-effective alternative to radar-based systems, projected to save 30% in overall system cost and while enhancing in-house control over the technology stack.
• Developed low-cost 360 Surround View System for trucks using a single camera + ultrasonic fusion, enhancing driver situational awareness.
• Spearheaded the "Low-Cost Blind Spot Mirror Rotation" project from concept to hardware feasibility, demonstrating a tangible, low-cost solution to a critical safety problem.
• Designed black-spot prediction ML model leveraging RASSI + Google Maps API to given as a features with Vehicle.

Vehicle Safety & Data-Driven Analysis (2014–Present)

• Conducted machine learning-based injury prediction models using RASSI accident database, supporting policy changes in SIAM/BNCAP.
• Created Due Care Load Cases for trucks, vans, and buses – first-of-its-kind in India, now used for internal Safety development.
• Authored Safety Strategy Report, aligning product roadmap with NCAP, BNCAP, and global benchmarks.
• Developed first Rescue Sheets in India (Tata Nexon EV, CVs), now a life-saving tool for first responders.
• Established strong relationships with clients and stakeholders, ensuring long-term partnerships and repeat business.
• Led cross-functional teams to achieve project milestones and deliver high-quality results.
• Consistently met or exceeded annual performance targets set by senior leadership.
• Implemented innovative solutions to overcome challenges, leading to enhanced productivity levels.
• Implemented and developed operational standards, policies and procedures.

• Onsite Accident data collection for road crashes on Mumbai Pune expressway. Led operations team for Pune branch and collected over 100+ accident cases during my tenure.
• Data coding for collected accidents into RASSI system to be available for RASSI consortium clients.
• Participated in continuous improvement initiatives, driving operational excellence throughout the organization.