ENGINEERING THE FUTURE

Passionate AI & Automotive Engineer.

> About Me
Bridging the Gap Between AI and Hardware.

I am Viswa Gandamalla, an AI & Automotive Engineer based in Ingolstadt, Germany. Currently a Student Assistant at the German Aerospace Center (DLR) developing camera-LiDAR sensor fusion pipelines for autonomous driving, and at CARISSMA working on 3D reconstruction for battery research. I hold a Masters in International Automotive Engineering from TH Ingolstadt (2025), specializing in perception, sensor fusion, and autonomous systems.

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Technical Expertise

> My Toolset
Comprehensive Skills in AI & Engineering

Programming: Python, C, C++, ROS2. ML/AI: PyTorch, TensorFlow, Keras, Scikit-learn. LLM & AI Apps: LangChain, RAG, OpenAI API, Hugging Face, ChromaDB, AstraDB, Streamlit. Automotive: AUTOSAR, ISO 26262, CAN/LIN/FlexRay/Ethernet. Simulation: MATLAB/Simulink, Gazebo, CARLA, CANoe. Cloud & Dev Tools: Git, AWS, Flask. Holds EU Class B Driver's License and Audi FFZ certification.

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Work Experience

> Career Path
Building the Future of Mobility

Currently at DLR (German Aerospace Center) developing camera-LiDAR sensor fusion with Extended Kalman Filter for the uShift urban mobility project. Also at CARISSMA building a Python + Open3D tool for real-time 3D pouch cell volume measurement using four Intel RealSense D435 cameras. Previously completed a Master Thesis at Akkodis benchmarking YOLOv8, RT-DETR and HOG+SVM on TurtleBot3, achieving 88.7% mAP.

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innovating for a smarter world

What I Work With

  • Computer Vision

  • Deep Learning

  • ROS2

  • Sensor Fusion

  • LangChain · RAG

  • SLAM Toolbox

  • Computer Vision

  • Deep Learning

  • ROS2

  • Sensor Fusion

  • LangChain · RAG

  • SLAM Toolbox

  • PyTorch · TensorFlow

  • C++ · Python

  • ISO 26262 · AUTOSAR

  • Kalman Filter

  • OpenCV · Open3D

  • MATLAB/Simulink

  • PyTorch · TensorFlow

  • C++ · Python

  • ISO 26262 · AUTOSAR

  • Kalman Filter

  • OpenCV · Open3D

  • MATLAB/Simulink

Featured Projects

Object Detection for TurtleBot3 (Master Thesis)

Design and evaluation of AI workflows using YOLOv8, RT-DETR, and HOG+SVM on TurtleBot3 (RealSense D405). Achieved 88.7% mAP with YOLOv8.

Tech Stack: Python · YOLOv8 · PyTorch · OpenCV · ROS2 · TurtleBot3 · RealSense

Autonomous Field Robotics with ROS 2

Full autonomous robotics stack: custom controllers (pose-to-pose & circular trajectory), Nav2, SLAM Toolbox, and frontier-based exploration. Modular ROS 2 package with behavior-tree recovery.

Stack: ROS 2 Humble · Nav2 · SLAM Toolbox · Gazebo · Python · URDF/Xacro

Monocular Visual Odometry (ORB-SLAM3)

Integrated ORB-SLAM3 into ROS 2 for real-time trajectory estimation on EuRoC/Vicon Room dataset. Implemented landmark initialization, feature tracking, motion estimation, and continuous triangulation.

Stack: C++ · ROS 2 · ORB-SLAM3 · OpenCV · Eigen

Education