Deepu Krishnareddy

• Skills: PyTorch, OpenCV, Object Detection and Segmentation, CVAT • Created a custom dataset for screw head detection and annotated objects using Computer Vision Annotation Tool (CVAT) and used Segment anything model as assistance for annotation. • Trained and evaluated deep learning object detection and instance segmentation models like Faster-RCNN, YOLOv8-seg, et

Skills: Python, FlaskAPI, Docker • Developed API services using FastAPI. • Designed a microservice API to convert JSON to RDF, enabling seamless data interoperability within a Data Space Management System. • Actively contributed to various open-source projects maintained by the institute, enhancing software functionality.

• Implemented code for integration solutions for multiple platforms,including Salesforce, MySQL, and Amazon SQS. • Designed scheduler-based applications to help streamline the business processes.

Grade - 1.7 Specialisation in AI/ML - Deep learning - Computer Vision - Machine Learning - Machine learning in Life science - AutoML - Robot Mapping