Jeevan H.r

Automated complex testing and simulation workflows using Python scripts and ROS 2 tooling, reducing manual setup time by 40%. Implemented SLAM (LIO-M, LIO-SAM) on an autonomous shuttle testbed, including intrinsic and extrinsic sensor calibration, improving real-time localization and mapping performance. Built multi-sensor data processing pipelines (LiDAR, Camera, IMU) and performed analytical log insights for system decision-making.

Research Volunteer – Autonomous Shuttle Project at Virtual Labs | CSD | NITK Surathkal (2025-07 – 2025-10)

• Automated complex testing and simulation workflows using Python scripts and ROS 2 tooling, reducing manual setup time by 40%.
• Implemented SLAM (LIO-M, LIO-SAM) on an autonomous shuttle testbed, including intrinsic and extrinsic sensor calibration, improving real-time localization and mapping performance.
• Built multi-sensor data processing pipelines (LiDAR, Camera, IMU) and performed analytical log insights for system decision-making.
• Designed modular systems by breaking ambiguous technical problems into structured workflows—aligning with IT requirement design.
• Performed HIL (Hardware-in-the-Loop) optimization with STM32 for subsystem control and rigorous log analysis.

Full Stack Developer Intern at Besant Technologies (2025-01 – 2025-04)

• Built scalable web applications using Java (Core & Advanced), Spring Boot, and RESTful Services.
• Developed responsive front-end interfaces with React/Angular, HTML, CSS, and Bootstrap.
• Managed backend database integration using MySQL and optimized queries for performance.

Autonomous Vehicle Research Intern at CSD | Virtual Labs | NITK Surathkal (2024-09 – 2024-11)

• Researched sensor compatibility (LiDAR, RADAR, GPS) and integrated custom vehicle models into Autoware.
• Designed 3D simulation environments using Blender and Unity with OpenStreetMap integration.

Data Science Intern at Macrolytics Technology Ltd (2023-10 – 2023-11)

• Built interactive dashboards and data visualizations using Tableau to communicate insights to stake-holders.
• Automated data processing workflows using Python (Pandas, NumPy) to improve efficiency and accuracy.
• Managed AWS cloud resources (EC2, S3, SageMaker) for scalable analytics solutions and cost optimization.

M Tech in Computer Networks And Engineering – Ramaiah Institute of Technology, Bangalore (2027)

B.E in Artificial Intelligence and Machine Learning – AMC Engineering College, Bangalore (2025)