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Labhesh Thakur

Lead Engineer at Mahindra Product Development, Advance Engineering department, Have Professional Experience in ADAS | HIL | CANOE | CANALYZER | MATLAB | PYTHON | C++ | GNSS SYSTEM | VT STUDIO | PCAN | AI | ML | PYTORCH.

Mumbai

3+ years of work experience

Mahindra and Mahindra Limited [Automotive and Farm Equipment Business]
Sep 20242 yrs 2 mosPresent

Pune District, Maharashtra, India

Leading the development of Hardware-in-the-Loop (HIL) test infrastructure and high-precision GNSS/IMU localization systems for Mahindra's autonomous vehicle and ADAS programs — sitting at the handoff point between hardware validation and control-software execution. • Architected and deployed a proprietary closed-loop HIL facility, integrating real-time target machines with vehicle ECUs to simulate full vehicle dynamics — cutting R&D tooling costs by 95%. • Leading integration of high-precision GNSS controllers and IMU hardware into the vehicle network, delivering sub-meter localization accuracy through precise data synchronization for autonomous navigation. • Designing behavioral logic and motion-control strategies for autonomous functions in Simulink/Stateflow, translating high-level ODD requirements into deployable embedded logic. • Owning strategic sensor selection (LiDAR, radar, camera) and integration via Vector VT Studio, ensuring robust, low-latency data pipelines for real-time perception and sensor fusion. Tools: MATLAB/Simulink, Vector CANoe/VT Studio, CAPL, CAN/CAN-FD, Automotive Ethernet, Python, C++.
Sep 20242 yrs 2 mosPresent

Feature Definition & Sensor Selection: Leading strategic selection of ADAS sensor hardware (Camera, Radar, Ultrasonic) and defining Feature Performance Specifications for L2+ functions. I evaluate supplier technologies against system requirements to ensure robust perception. Logic & Algorithm Development: Designing decision-making logic and control algorithms for ADAS features, utilizing MATLAB/Simulink and Python to move from simple validation to active behavior development. HIL Architecture & Cost Optimization: Architected a custom in-house HIL facility matching industry-standard accuracy (90%) but achieved a 95% reduction in tooling costs by eliminating expensive Tier-1 dependencies. System Integration: Managing integration of GNSS controllers and sensor hardware into the vehicle network using Vector VT Studio, ensuring precise data synchronization for sensor fusion.
ERIC Robotics
Nov 20231 yrOct 2024

Pune District, Maharashtra, India

Executive Engineer at Eric Robotics Part of Premier Group, Role of Project Manager, Responsible for Leading a team of engineers, Managing relations with stakeholders, and coordinating with cofounders.
Nov 202311 mosSep 2024

Multi-Modal Sensor Fusion: Defined fusion strategy combining LiDAR and Camera feeds for precise localization in GPS-denied environments. Engineering Leadership: Managed cross-functional teams (Mechanical, Electronic, Software) to deliver the AMR prototype, meeting all functional requirements for obstacle avoidance.
Mar 20239 mosNov 2023

Mumbai, Maharashtra, India

Designing and Developing AMR modules, Robotic-arm, image-processing, localization, etc Creation of AI, ML algorithm, and integration with microcontroller and microprocessor. Consulting more than +9 organizations with their new projects Vendor selection, Marketing, Sales, and Managing inventory

Labhesh’s AI Stack

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Education

MIT ADT University

Integrated M-tech, Mechatronics and Automation Engineering

MIT ADT University

20185 yrs2023
MIT ADT University

Master of Technology, Mechatronics, Robotics, and Automation Engineering

MIT ADT University

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Headline

Lead Engineer at Mahindra Product Development, Advance Engineering department, Have Professional Experience in ADAS | HIL | CANOE | CANALYZER | MATLAB | PYTHON | C++ | GNSS SYSTEM | VT STUDIO | PCAN | AI | ML | PYTORCH.

About

I design the systems that let autonomous vehicles know exactly where they are, down to the meter — and the test rigs that make sure the rest of the vehicle can trust that answer. As a Lead Engineer at Mahindra & Mahindra, I architected a proprietary closed-loop Hardware-in-the-Loop (HIL) facility from scratch, cutting R&D infrastructure costs by 95% while giving engineering teams a way to validate vehicle ECUs against real-world dynamics before a single prototype hits the road. Alongside that, I lead the integration of high-precision GNSS/IMU sensor fusion and the Simulink/Stateflow control logic that turns that localization data into safe, deployable autonomous behavior. My background spans the full stack of autonomous systems engineering: • HIL/SIL architecture, plant modeling, and closed-loop test design • GNSS/IMU integration and sensor fusion (Kalman filters) for sub-meter localization • Control logic and motion planning in Simulink/Stateflow, from ODD definition through embedded deployment • Multi-sensor perception (LiDAR, radar, camera) and AMR software stacks built on ROS • Vector toolchain (CANoe, VT Studio, CAPL), CAN/CAN-FD, and Automotive Ethernet Before Mahindra, I led R&D for an autonomous mobile robot program and built perception and navigation stacks for autonomous drones from the ground up. Always glad to connect with people working on autonomous systems, ADAS, or safety-critical embedded engineering — whether that's a technical conversation or a new opportunity.

Location

Mumbai

AI stack

aistudio

antigravity

claude code

claude

llmapi

xai

Work experience

Lead Engineer at Mahindra and Mahindra Limited [Automotive and Farm Equipment Business], Sep 2024 - Present · 2 yrs 2 mos, Pune District, Maharashtra, India, Leading the development of Hardware-in-the-Loop (HIL) test infrastructure and high-precision GNSS/IMU localization systems for Mahindra's autonomous vehicle and ADAS programs — sitting at the handoff point between hardware validation and control-software execution. • Architected and deployed a proprietary closed-loop HIL facility, integrating real-time target machines with vehicle ECUs to simulate full vehicle dynamics — cutting R&D tooling costs by 95%. • Leading integration of high-precision GNSS controllers and IMU hardware into the vehicle network, delivering sub-meter localization accuracy through precise data synchronization for autonomous navigation. • Designing behavioral logic and motion-control strategies for autonomous functions in Simulink/Stateflow, translating high-level ODD requirements into deployable embedded logic. • Owning strategic sensor selection (LiDAR, radar, camera) and integration via Vector VT Studio, ensuring robust, low-latency data pipelines for real-time perception and sensor fusion. Tools: MATLAB/Simulink, Vector CANoe/VT Studio, CAPL, CAN/CAN-FD, Automotive Ethernet, Python, C++.

Lead Engineer at Mahindra & Mahindra Automotive, Sep 2024 - Present · 2 yrs 2 mos, Feature Definition & Sensor Selection: Leading strategic selection of ADAS sensor hardware (Camera, Radar, Ultrasonic) and defining Feature Performance Specifications for L2+ functions. I evaluate supplier technologies against system requirements to ensure robust perception. Logic & Algorithm Development: Designing decision-making logic and control algorithms for ADAS features, utilizing MATLAB/Simulink and Python to move from simple validation to active behavior development. HIL Architecture & Cost Optimization: Architected a custom in-house HIL facility matching industry-standard accuracy (90%) but achieved a 95% reduction in tooling costs by eliminating expensive Tier-1 dependencies. System Integration: Managing integration of GNSS controllers and sensor hardware into the vehicle network using Vector VT Studio, ensuring precise data synchronization for sensor fusion.

Executive Engineer at ERIC Robotics, Nov 2023 - Oct 2024 · 1 yr, Pune District, Maharashtra, India, Executive Engineer at Eric Robotics Part of Premier Group, Role of Project Manager, Responsible for Leading a team of engineers, Managing relations with stakeholders, and coordinating with cofounders.

Research and Development Executive at Premier Seals, Nov 2023 - Sep 2024 · 11 mos, Multi-Modal Sensor Fusion: Defined fusion strategy combining LiDAR and Camera feeds for precise localization in GPS-denied environments. Engineering Leadership: Managed cross-functional teams (Mechanical, Electronic, Software) to deliver the AMR prototype, meeting all functional requirements for obstacle avoidance.

Research And Development Engineer at Motion Identix Pte. Ltd., Mar 2023 - Nov 2023 · 9 mos, Mumbai, Maharashtra, India, Designing and Developing AMR modules, Robotic-arm, image-processing, localization, etc Creation of AI, ML algorithm, and integration with microcontroller and microprocessor. Consulting more than +9 organizations with their new projects Vendor selection, Marketing, Sales, and Managing inventory

Education

Integrated M-tech, Mechatronics and Automation Engineering, MIT ADT University

Master of Technology, Mechatronics, Robotics, and Automation Engineering, MIT ADT University