Nikhil Yadav

Delivered high-impact ADAS solutions across EVs, trucks, and OEM platforms driving cost savings, faster deployment, and safety improvements.

-Roles & Responsibilities
▪ Designed modular ADAS stacks tailored to emerging markets and global OEM needs
▪ Led architecture and system-level validation for camera-first, radar, and LiDAR-based safety functions
▪ Developed tiered ADAS IP platform scalable from vision-only to multi-sensor kits
▪ Integrated lateral control, in-cabin sensing, and FCW algorithms for heavy truck applications
▪ Coordinated with suppliers for sensor optimization, compute cost reduction, and field calibration
▪ Supported platform rollout across electric 2Ws, 4Ws, and Class-8 trucks

ADAS Architecture & Deployment (Electric Vehicles, Commercial Trucks, Global OEM Platforms)Camera, Radar, LiDAR, Embedded C/C++, RTOS, Python, CAN, FCW, Driver Monitoring, Perception Stacks

• Delivered high-impact ADAS solutions across EVs, 2-wheelers, 4-wheelers, and Class-8 trucks, driving major cost savings, faster platform rollouts, and enhanced vehicle safety compliance.
• Designed modular ADAS stacks tailored to emerging markets and global OEM requirements, leveraging scalable vision-first and multi-sensor (Camera, Radar, LiDAR) architectures.
• Led end-to-end system validation for safety-critical functions such as Forward Collision Warning (FCW), Lateral Control, Driver Monitoring Systems, and Auto-Parking using embedded C/C++, RTOS-based frameworks, and CAN communication networks.
• Developed a tiered ADAS IP platform enabling flexible kits — from entry-level camera-only solutions to advanced radar-LiDAR fusion systems — optimized for R&D cycle time, cost engineering, and multi-platform compatibility.
• Integrated in-cabin sensing algorithms to track driver alertness and lateral control strategies for commercial vehicle stability during crosswinds and trailer swing conditions.
• Collaborated with sensor suppliers to optimize calibration procedures, reduce compute loads (using Python-based validation toolchains), and bring down component costs across various ADAS programs.
• Supported field testing, calibration, and validation campaigns ensuring high sensor accuracy even in harsh conditions like monsoons, heavy snow, and crosswind scenarios.

Key Achievements:

• MIH ADAS Program: Achieved $18M in sensor cost savings across two EV platforms; reached 92% object detection reliability under monsoon conditions with 35% compute cost reduction in FCW Proof-of-Concept.
• In-House ADAS IP Platform: Cut R&D cycles by 14 weeks, deployed kits ranging from $23 to $142 at three OEMs, and enabled multi-vehicle standardization using unified software architecture.
• Heavy Truck ADAS (U.S. Market): Delivered
• Strategic Commercial Wins: Led a $9M Auto-Park project featuring 15cm localization accuracy using hybrid radar+LiDAR systems; achieved 22% cost optimization and

Skills: OEM Cost Engineering · ADAS Software Architecture · LiDAR-Radar Fusion · Commercial Vehicle ADAS Deployment · Perception Stack Development · Embedded Systems Design · Real-time Sensor Validation

NXP S32K144, Embedded C, Linux (Yocto), CAN, Ethernet, TLS 1.2, OTA, Telemetry Systems

• Led design and deployment of India’s first hypercharging network for OLA 2W EVs across 100+ nodes.
• Architected end-to-end system combining embedded controllers, Linux edge compute units, and cloud-based OTA pipelines.
• Developed S32K144-based charge controller compliant with CCS2 & CHAdeMO; implemented secure diagnostics and adaptive charging logic.
• Engineered modular, hot-swappable power modules and telemetry systems handling 15GB/day across 250+ sites.
• Achieved ±2% current control accuracy,
• Enabled ₹1,200/unit cost reduction by decoupling MCU and edge compute roles.
• Maintained 95% uptime via dual CAN-Ethernet redundancy and remote fault analytics.

Skills: EV Charging Protocols · Secure OTA & Telemetry · Adaptive Smart Charging Algorithms · Predictive Diagnostics · Scrum-based Development · System Architecture

ADAS Middleware,Low-Level DriverDevelopment,Renesas RH850, AUTOSAR 4.3.1, MCAL, Embedded C, Lauterbach, V-Cycle

• Led architecture and delivery of AUTOSAR-compliant middleware and MCAL packages for autonomous driving ECUs.
• Collaborated with GM and Hitachi to define system requirements for RH850-based ADAS ECU stack.
• Decomposed functional specifications into modular components and subsystems for seamless V-cycle execution.
• Guided low-level driver (MCAL) development aligned to AUTOSAR 4.3.1 standards with full compliance and traceability.
• Managed on-time delivery across architecture, coding, integration, and verification phases.

Key Projects:

• ADIM (ADAS Middleware Integration): Designed middleware for Hitachi Autonomous ECU aligned with GM’s architecture and test frameworks.
• U2A16LLD (MCAL Development): Architected and delivered MCAL package for RH850 platform ensuring reusability across multiple GM ECU variants.

Skills: AUTOSAR Middleware Development · MCAL Driver Development · V-Cycle Execution · Functional Decomposition · ADAS Systems · Embedded Software Architecture

UAV Systems & Connected Healthcare Devices,Aurix TC277, LPC2148, Embedded C, CAN, ESP8266, GPRS, GPS, RFID, Systems Engineering

• Led system architecture and embedded software development for autonomous UAVs and connected IoT healthcare devices.
• Defined system and software architecture for safety-critical and IoT-based platforms ensuring subsystem-level integration.
• Designed modular, multi-layer frameworks incorporating ESCs, IMUs, actuators, GPS, and connectivity modules.
• Oversaw planning, development, and stakeholder collaboration across firmware, communication stacks, and cloud sync.
• Provided technical leadership with detailed documentation, requirement traceability, and safety compliance from concept to deployment.

Key Projects:

• FLYBOTS (UAV Framework Development): Architected S/W framework for autonomous drones using Aurix TC277; integrated ESCs, sensor suite, and redundant autopilot logic over CAN communication.
• MEDBOX (IoT Medication Compliance System): Led embedded S/W development for a connected pill dispenser with GPS tracking, RFID authentication, GPRS connectivity, and mobile app integration.

Skills: UAV Systems Development · IoT Device Architecture · Embedded Connectivity (GPRS, ESP8266) · Safety-Critical Software Design · CAN Communication · Systems Engineering · Multi-Sensor Integration

LPC1769, KEA128, CAN, J1939, RS-232, LoRa, VB6, Lidar, Embedded C, Systems Engineering

• Delivered embedded systems architecture and firmware development across automotive, industrial robotics, and warehouse automation sectors.
• Architected embedded software for safety-critical systems and automation controllers, ensuring performance, reliability, and compliance.
• Developed custom communication stacks (CAN, J1939, LoRa) and Hardware-in-Loop (HIL) simulators for system validation.
• Led prototyping, system integration, and multi-stakeholder project execution across hardware and software domains.
• Created diagnostic tools, warehouse/server-side utilities, and low-level firmware drivers for industrial automation.

Key Projects:

• Driver State Monitoring (Daimler India): Developed J1939 and CAN communication stack, built HIL simulation environment, and evaluated AUTOSAR feasibility for driver alertness systems.
• Autonomous Electric Bus (TATA Motors): Led SBW (Steer-by-Wire) development for electric bus platform enabling autonomous driving routes.
• Pick-to-Light System (Volvo Commercial Vehicles): Built low-level drivers, warehouse management system (WMS) protocol integration, and configuration utilities for smart warehouse solutions.
• Automated Guided Vehicles (Asian Paints, Daimler): Designed embedded firmware for BLDC motor-based AGVs integrating Lidar sensors and warehouse communication protocols.
• Autonomous Mobile Robots (THRSL): Architected a distributed AMR control platform over LoRa communication integrated with ERP and WMS systems.

Skills: Embedded Systems Design · Automotive Safety Systems · Robotics Firmware Development · CAN/J1939 Protocol Development · LoRa Wireless Communication · HIL Simulation · BLDC Motor Control · Warehouse Automation Systems · Systems Engineering

Embedded Software Development (AUTOSAR & ECU Abstraction),AUTOSAR 4.2.1, CAN Transceiver Drivers, MCAL Integration, Embedded C, Systems Engineering

• Led development of hardware-abstracted CAN transceiver driver modules for BMW ECUs under AUTOSAR standards.
• Defined and documented complete software and embedded system requirements (SRS, ESDD) aligned with OEM guidelines.
• Designed validation infrastructure and custom test applications to ensure robustness of CAN transceiver communications.
• Developed embedded driver code conforming to AUTOSAR 4.2.1 architecture, ensuring modularity and hardware abstraction.
• Collaborated closely with integration teams for MCAL (Microcontroller Abstraction Layer) configuration and system-wide interface validation.

Key Project:

• CANTrcv Driver for BMW (AUTOSAR 4.2.1):
  • Architected and delivered the CAN transceiver abstraction layer for TJA1048 chipsets.
  • Enabled hardware-independent CAN communication by bridging MCAL APIs with upper AUTOSAR software layers, enhancing reusability and scalability across BMW ECU variants.

Skills: AUTOSAR Development · CAN Transceiver Driver Development · MCAL Integration · Embedded C Programming · ECU Software Architecture · Requirements Engineering (SRS, ESDD) · Validation and Test Frameworks · Systems Engineering

Embedded Systems Development (Diesel, Electric Locomotives & Fuel Cell Propulsion)Embedded Systems, Real-time Control, Railway Simulators, Vehicle Diagnostics, CAN, RS-485, ARM7/ARM9

• Developed embedded control systems for APU (Auxiliary Power Units), AESS (Auto Engine Start-Stop), Vigilance Control Devices (VCD), and diagnostic units across diesel and electric locomotives (ALCO, WAG series).
• Designed and programmed real-time firmware for multiprocessor fault diagnostic systems (FDCS) using ARM7 (LPC2148) and ARM9 platforms.
• Led the development of high-fidelity simulators for WAG-7 and WAG-5 locomotives, accurately replicating electrical, safety, and operational controls.
• Implemented robust communication protocols including CAN, RS-485, GPS, and proprietary vehicle networks for onboard and remote diagnostics.
• Engineered PWM-based motor control logic for BLDC-powered trolleys supporting railway station logistics and maintenance operations.
• Provided ongoing firmware support, hardware interfacing, field testing, and complete documentation for seamless validation and deployment.

Key Achievements:

• Successfully deployed India's first Fuel-Cell Assisted APU system in WDM-3D diesel locomotives to reduce idle losses and emissions.
• Architected a Vigilance Control Device (VCD) for electric locomotives, significantly enhancing safety monitoring and operational compliance.
• Developed India's first embedded control prototype for a 300kW PEM Fuel Cell-based Switcher Locomotive (concept stage).
• Delivered a fully operational locomotive simulator platform for CLW (Chittaranjan Locomotive Works), complete with full software and hardware test suites.

Skills: Embedded Systems Development · Real-time Firmware Design · Locomotive Systems Engineering · CAN & RS-485 Communication · Railway Simulator Development · PWM Motor Control · Field Testing & Validation · Fuel Cell Systems · Systems Engineering · ARM Microcontroller Programming