Nagaraju Javisetty

• Developed an AI chatbot in German for financial queries, using a RAG system to provide accurate and relevant answers. • Developed an AI Home-Staging Tool that automatically furnishes, redecorates, and renovates interiors and exteriors. • Created a Magic Eraser AI System to automatically detect and remove unwanted objects (e.g. trash bins) and blur private information. • Built and deployed scalable REST APIs, containerized applications with Docker, and managed deployments through Rancher (Kubernetes) .

• Built an AI system to detect industrial leakages by combining infrared and RGB imaging, improving early fault detection accuracy. • Managed the entire process, involving data collection with bi-spectral cameras and applying techniques such as camera calibration, and image registration to align IR and RGB data. • Successfully fused RGB and IR sensor data, trained the image processing model with 4-channel image data, deployed the model. • Tools: Python, PyTorch, OpenCV, Hikvision & Testo cameras

• Labelling vehicle data from endurance runs and measurement campaigns. Creating unit tests for KPI scripts. • Analysing and visualising vehicle data. Scripting for comparing resimulation results with measurement recordings • Developed a neural network for pedestrian and cyclist detection achieving 85% accuracy. • Tools: Python, TensorFlow, Keras, Git.

• Implemented a YOLO-based real-time object detection system on Nvidia Jetson platforms for vehicle and pedestrian tracking. • Integrated Grafana dashboards to monitor traffic detection data and performance metrics. • Tools: OpenCV, IMX477 Camera, Git.