Ritu Raj

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

Research works in the area of Natural Language Processing (NLP), question-answering, NLP engines, graph data, queries and algorithms.

AI: Vision, Classical ML/DL with Edge Technology

Product development and Test -> C++, Python, Linux, Data Structure and Algorithms. >> Algorithms and System architecture and design.

OpenSAF • Design, Develop and Automate the OpenSAF services features • Enhancement of features and debugging. • Algorithms design and implementation. +language and tools: Python, C/C++, Linux, gdb, process, thread and multi-threading.

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