🚀 AI Researcher & Deep Learning Specialist

Pre-final year Computer Science undergraduate with a rigorous foundation in Deep Learning, Computer Vision, and Generative AI. Currently engaged in research involving Autonomous RAG Agents and Edge AI optimization.

With 91+ documented projects and hands-on experience from virtual internships at IBM, Microsoft-SAP, and Shell, I've developed comprehensive expertise in:

• Deep Learning: PyTorch, TensorFlow, Neural Networks, CNN, RNN, LSTM, Transformers
• NLP & RAG: LangChain, ChromaDB, BERT, T5, Vector Databases, Retrieval Systems
• Computer Vision: Transfer Learning, MobileNetV2, Object Detection, Real-time Systems
• Research Focus: Autonomous Agents, RAG Pipelines, Edge AI, Emotion Recognition
• Cloud & Deployment: IBM Cloud, Docker, Model Optimization, Inference Latency
• Mathematics: Linear Algebra, Probability, Algorithm Design

Proficient in PyTorch, Transformers (BERT, T5), and mathematical modeling. Currently seeking research opportunities to contribute novel AI architectures in academic and industry settings.