Prapti Pakkala

Engineered a ROS 2 autonomous localization pipeline utilizing Intel RealSense T265 visual odometry and ArUco fiducial markers for real-time pose estimation of a differential-drive mobile robot. Developed and tuned a Constant Velocity Kalman Filter to fuse multi-source localization data, enhancing pose accuracy, minimizing measurement uncertainty, and improving navigation robustness under noisy sensing conditions. Validated localization performance through real-world testing and data analysis, achieving stable robot tracking and improved positioning consistency across varying operating conditions.

Robotics Intern at Dubai Future Foundation (2026-07 – Present)

• Engineered a ROS 2 autonomous localization pipeline utilizing Intel RealSense T265 visual odometry and ArUco fiducial markers for real-time pose estimation of a differential-drive mobile robot.
• Developed and tuned a Constant Velocity Kalman Filter to fuse multi-source localization data, enhancing pose accuracy, minimizing measurement uncertainty, and improving navigation robustness under noisy sensing conditions.
• Validated localization performance through real-world testing and data analysis, achieving stable robot tracking and improved positioning consistency across varying operating conditions.

Embedded Software and Controls Intern at Origin (2026-05 – 2026-07)

• Working with NVIDIA Jetson Thor, AGX Orin, and Miivii Orin platforms for embedded AI and autonomous robotics deployment.
• Performing board bring-up, Linux environment setup, Docker configuration, and deployment workflows for robotics applications.
• Customizing Linux kernels, bootloaders, BSPs, and device drivers to support autonomous system requirements and hardware integration.
• Developing an embedded observability platform for real-time CAN bus visualization, sensor monitoring analysis.

Engineer Trainee at Al Gurg Automation and Controls (2025-08 – 2025-09)

• Verified GA and BoM for PLC, MCC, and RTU panels, conducted continuity testing for 415V/230V systems, and prepared customer punch points.
• Assisted in HMI screen development and Redline markup creation for automation panels, gaining exposure to industrial control workflows.

Robotics Intern at Witsense AI (2025-01 – 2025-02)

• Optimized SLAM algorithms to improve drone mapping accuracy by 20%; executed 50+ ROS and Gazebo simulations for real-time performance testing.
• Researched NVIDIA Isaac SDK for reinforcement learning-based control and enhanced multi-sensor fusion for robotic localization.

Core Team Member – Avionics and Navigation at Edhitha Unmanned Aerial Systems (2022-01 – 2024-09)

• Integrated IMU, sonar, and depth sensors with ArduSub firmware for AUV control, enabling robust underwater navigation in dynamic environments.
• Designed custom thrust rig and validated propulsion systems; represented team at SAUVC 2024, ranking 7th among 79 global teams.

Student Trainee at Schneider Center for Home and Building Automation Setup Training in University (2022-09 – 2022-10)

• Programmed KNX-based lighting and HVAC automation systems using ETS-5, integrating real-time environmental control and user feedback loops.
• Gained hands-on understanding of smart building automation architectures, sensor networks, and BMS communication standards.

Bachelor of Engineering in Electronics and Communication Engineering – Ramaiah Institute of Technology (2022-08 – 2026-08)

– The Indian High School Dubai (2008-04 – 2022-08)