Gutha Bharadwaj

Graduate Research Assistant @ The Research Foundation for SUNY

About

Software Engineer | Deep Learning & Autonomous Systems I’m an Software Engineer pursuing my M.S. in Computer Science at SUNY Buffalo, with a focus on autonomous systems, SLAM, and deep learning. My work centers on building intelligent robotic systems that combine sensor fusion, perception, planning, and control for reliable autonomy. At the university’s CAVAS Lab, I work hands-on with a Lincoln MKZ powered by the latest Autoware.Universe stack a fully autonomous system . I focus on sensor fusion (LiDAR–IMU–Camera), real-time perception, and vehicle control, ensuring every autonomous decision is both precise and safe. Before that, at Bosch Global Software Technologies, I developed and optimized SLAM, path planning, and vision algorithms in ROS, integrating deep learning models for perception and navigation on NVIDIA Jetson platforms. I’m fascinated by how intelligence emerges through motion whether that’s in a robot mapping a room, a car navigating a city, or an AI model learning to plan ahead. My current work spans perception, motion planning, reinforcement learning, and simulation (Isaac Sim) focused on pushing the boundaries of what machines can understand about the world around them.

Country

United States

City

New York

Industry

Computer Software

Skill

Machine Learning, Deep Learning, Visual SLAM, Robot Operating System (ROS), Python (Programming Language), C++, C (Programming Language), MySQL

Experience

Graduate Research Assistant

The Research Foundation for SUNY

2025-1 - Present · 1 yr 9 mos

Buffalo, NY

• Collaborated on Autoware.Universe/Autoware.Auto to facilitate Level 5 autonomy in a Lincoln MKZ. • Configured and integrated the full autonomy stack, ensuring reliable operation through sensor bring-up and time synchronization. • Developed a scalable SLAM & mapping pipeline, enhancing mapping accuracy with graph optimization techniques. • Created sensor calibration workflows, validating methods in advanced simulation environments like CARLA.

Associate Software Engineer

Bosch Global Software Technologies

2023-5 - 2024-5 · 1 yr 1 mo

Bengaluru, Karnataka, India

• Engineered multi-sensor fusion frameworks integrating LiDAR, camera, and IMU data for enhanced localization and mapping. • Explored motion planning modules utilizing graph optimization for efficient area coverage. • Designed calibration systems ensuring high temporal precision in sensor input alignment. • Optimized autonomy deployment pipelines on NVIDIA Jetson Orin, leveraging CUDA, TensorRT, and Docker for edge performance.

Intern

Bosch

2023-1 - 2023-5 · 5 mos

Bengaluru, Karnataka, India

• Benchmarked various vSLAM pipelines, including ORB-SLAM3 and VINS-Fusion, to enhance mapping accuracy. • Developed a custom Isaac Sim environment for generating ROS 2 datasets, facilitating controlled performance analysis. • Optimized real-time visual SLAM workflows on Jetson Orin using CUDA and TensorRT for efficient deployment.