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a018_Ashish_Shajan UserAU
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a018_Ashish_Shajan User

@a018_ashish_shajanus

I build autonomous robotics systems from simulation through real-world deployment.

India
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What I'm looking for

I'm looking to build autonomous robotics and AI systems that bridge simulation and real-world deployment, with opportunities to lead cross-functional engineering work in perception, navigation, control, and embedded robotics.

I've architected ROS 2 autonomous drone systems at AT Bots, integrating PX4, MAVROS, IMU, GNSS, and LiDAR for real-time flight control, localization, obstacle avoidance, and AI-powered structural inspection.

As Autonomous Head for Team Equinox SAE BAJA, I lead development of a Level 2 autonomous vehicle from architecture through track readiness. I coordinate mechanical, electrical, embedded, and AI teams while building perception, sensor fusion, EKF localization, and ADAS features including ACC, AEB, and LKA.

My work spans simulation and deployment using Gazebo, CARLA, NVIDIA Isaac Sim, IPG CarMaker, and PyBullet. At IIIT Hyderabad, I built Gazebo environments for drone validation and developed a custom mobile robot using 2D LiDAR SLAM, differential-drive kinematics, odometry, HITL testing, and PID tuning.

I've also developed AI-driven crack detection for drones, ROS 2 locomotion for a 12-DOF quadruped, and machine-learning solutions for waste segregation. I enjoy turning robotics concepts into integrated systems that perform reliably in real-world environments.

Experience

Work history, roles, and key accomplishments

AB
Current

Chief Technical Officer

AT Bots

Jan 2024 - Present (2 years 7 months)

Architected a ROS 2-based autonomous drone stack integrating PX4 and MAVROS for real-time flight control and navigation. Designed and implemented multi-sensor fusion pipelines for accurate localization and obstacle avoidance.

BI

Competition Project - BAJA SAE India 2025

BAJA SAE India

Jan 2025 - Dec 2025 (11 months)

Led the complete autonomous system development for a Level 2 BAJA vehicle, defining architecture for perception, localization, planning, and control. Designed radar-based perception and multi-sensor fusion using Extended Kalman Filter.

IH

Research Internship - Differential Drive Mobile Robot

IIIT Hyderabad

Jan 2025 - Dec 2025 (11 months)

Implemented 2D LiDAR-based SLAM using Cartographer to generate high-resolution occupancy grid maps. Developed real-time differential drive kinematics and wheel odometry estimation pipelines.

AP

Academic Project - Crack Detection with Drones

Academic Project

Jan 2024 - Dec 2024 (11 months)

Spearheaded a deep learning-based crack detection model optimized for edge devices, integrating autonomous drone navigation with real-time computer vision pipelines for structural inspection.

RH

Research Intern

Robotics Research Centre, IIIT Hyderabad

Jan 2024 - Dec 2024 (11 months)

Developed high-fidelity Gazebo simulation environments to validate autonomous drone control strategies. Engineered a custom autonomous mobile robot, implementing 2D LiDAR-based SLAM algorithms and differential drive kinematics.

AP

Academic Project - Quadruped Robot

Academic Project

Jan 2024 - Dec 2024 (11 months)

Designed and developed a ROS 2-based locomotion framework for a 12-DOF quadruped robot, implementing forward and inverse kinematics for gait control. Conducted high-fidelity simulation in NVIDIA Isaac Sim and Gazebo.

Education

Degrees, certifications, and relevant coursework

Saintgits College of Engineering logoSE

Saintgits College of Engineering

Bachelor of Technology, Robotics and Automation

Activities and societies: Relevant courses include Control Systems, Robot Kinematics & Dynamics, AI, Machine Learning, Embedded Systems, Computer Vision, Mobile Robots, and Robot Operating System.

Pursuing a Bachelor of Technology in Robotics and Automation, expected to graduate in 2026.

JW

Jawahar Navodaya Vidyalaya Wayanad

Higher Secondary, General Studies

Completed higher secondary education at Jawahar Navodaya Vidyalaya Wayanad.

Tech stack

Software and tools used professionally

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