📍 Toronto, ON | ✉️ [email protected] | LinkedIn

With a decade of experience in Data, including nearly four years deeply immersed in Data Science, ML, AI, and a year of Canadian experience, my journey has evolved from SQL development and data visualization to leading innovative AI projects. A Liverpool University alum with a Master's in AI and ML, I have a strong foundation in NLP, Large Language Models (LLMs), Computer Vision, and Graph Neural Networks. I am passionate about advancing AI towards AGI, aiming for a future where technology complements human intelligence.

• A comprehensive open-source demonstration of the Retrieval Augmented Generation (RAG) pipeline using FAISS and Gemma LLM.
• Demonstrates a novel technique - Mega Chunking to improve RAG performance.
• Demonstrates the use of a separate metadata store to improve RAG performance.

• NLU/NLP, Deep Learning, Python (Pandas, PyTorch)
• Transformers & Pretraining, MLOps & LLMOps, Statistical Modelling

• XCS224N - Natural Language Processing with Deep Learning, Stanford (2023)

• PG Diploma in ML and AI, IIIT Bangalore (2018-2020)

• Fundamentals of Reinforcement Learning, University of Alberta (Coursera, 2020)

• GenAI Risk Companion for Citibank, Data Comparator GPT, Analytics projects using Big Data.
• Pioneered GenAI POC converting VBA Macros to Python; developed multiple MLOps and LLMOps pipelines.

• Led the C-Factor Project for Citibank, specializing in Tabular Data Extraction using YOLOv5, GNNs.
• Spearheaded MLOps CI/CD pipelines; created predictive models and NLU solutions for various clients.

• Reporting and Data Solutions for financial clients; data scraping, Python scripting, and data visualization.

• BI and ML solutions for Michelin Tires; led data warehousing projects.

Liverpool John Moores University (2021) - Scored 80%

I.T.S Engineering College, India (2014)

I am always on the lookout for innovative projects and collaborations that push the boundaries of AI and ML. Let's connect!