- Data Scientist at Cognizant - Expertise in GenAI OpenAI, Gemini Mode and RAG Architecture - Skilled in vector databases, including Redis and Milvus, enhancing AI capabilities and data retrieval efficiency - Extensive experience in designing advanced NLP, Machine Learning & Deep Learning models: Recommendation Systems, Computer Vision, Time Series Analysis, Entity Recognition, Document Intelligence, Text Classification, Information Retrieval, Regression, Word Embeddings, Topic Modeling, POS Tagging, and MCR Q&A - Proficient in leading machine learning frameworks: Keras, TensorFlow, PyTorch - Expertise in building robust data pipelines and streaming solutions using Python - Strong Linux background with substantial experience in AWS and Azure cloud environments - Proficient in Databricks for scalable data processing and analytics - Specialized in Computer Vision, including object detection, localization, and image classification - Extensive experience in data harvesting and web scraping using GET and POST methods - Advanced knowledge of Elasticsearch and Apache Solr for text matching and indexing - Bachelor of Engineering in Computer Science (Anna University, 2015, 75%)