Currently working in Hewlett Packard AI Lab on Generative AI Business use cases and Research & Development. Here I am engaged with building Generative AI applications using state-of-the art transformers model in various NLP domain like RAG, Multi-Modal RAG, Question-Answering, Text Extraction, Building Feature Engineering Pipelines and Auto-tagging unsupervised data. Experienced with Fine-tuning Large Language Models for various NLP domain tasks such as Semantic Search, Question-Answering, Text Summarisation, Text Classification using LoRA & QLoRA technique. Evaluating and optimising LLMs performance. Worked with Infosys ICETS (Research and Development Wing) on Machine Learning & Deep Learning Systems, Natural language processing applications. Having experience of deployment and production of end-to-end Machine learning Model pipeline. Always open to provide 1:1 mentorship for Data Science/Analytics, Machine Learning, NLP, Deep Learning Tracks. I deal with #Data_Preprocessing, #Feature_Engineering, #Model_Selection and #Optimisation, #Model_Deployment and #Interpretability. I also engaged with building #POC and Implementing #Research paper from scratch. Skills - Fine-tuning LLM's using LoRA, QLoRA, In Context Learning (ICL), Retrieval Augmented Generation (RAG), Prompt Tuning, Prefix Tuning, Model Compression and Deployment, LangChain, Vector Databases, Similarity Search, Classification, Clustering and Regression with Supervised and Unsupervised algorithms, Deep Learning, Natural Language Processing, RNN, LSTM, Transformers. PySpark, TensorFlow, PyTorch, Scikit-Learn, Transformers, Pandas, NumPy, Matplotlib, SQL, NLTK, Statistics, Advanced Mathematics, Data Structures and Algorithms, Python, C++ Exploring - Deep Learning, Natural Language Processing, Transformers. Anything related to #ML, #DL, #Code, #Indian_Polity, #Economy, #Trading, #Indian_Heritage, #Cricket, #Travel always attracts me.