Ritu Raj

- AI: Research, Innovation and use-cases - ML: algorithms, inference and optimization - LLM: RAG, training, optimization and fine-tuning - computer Vision , GEN-AI, CNN, GCNN, PoC - kubernetes, docker and containerization

Project: NLP and Question-Answering +Implemented endpoints and endpoint security API for NLP system. +Deployed the QA system and RDF graph database. +Several RestAPI for NLP question-answering. concept: Core-Natural language Processing, Question-Answering system, Java-Web Services, RESTful API, Endpoint Securities, RDF Graph Database, data-structure and algorithms, OOPS. language and tools: core-java, JSON, eclipse, Linux, Postman, SQL.

1. IoT: Edge Computing and computer vision +language and tools: Python and libraries, openvino, algorithms, Kubernetes, docker == 2. IoT: Hyper-Visor/Virtualization +language and tools: C/C++, bitbake, docker, ACRN-hypervisor

Product development and Test -> C++, Python, Linux, Data Structure and Algorithms

OpenSAF • Design, Develop and Automate the OpenSAF services features • Enhancement of features and debugging. +language and tools: Python, C/C++, Linux, gdb, source-forge, svn.

A. Master Thesis: Node Classification-Edge Conditioned Graph Neural Network Concepts: Deep Learning, GCN, GNN and variants, Convolutional Layers, Node-Classification. B. Research Project: State-of-the-Art in Semantic Question-Answering. C. Research Seminar Project: Transfer Learning Approach in PCB Inspection.

Bachelor of Technology – Computer Science and Engineering Key Subjects: Data Structure, Design Analysis and Algorithm, Artificial Intelligence, Pattern Recognition, Digital Image Computing, Software System, Soft Computing