Lalit G.

I possess extensive expertise in Generative AI and Deep Learning, with over 17 years of experience as a researcher (holding a Ph.D.) and consultant. Throughout my career, I have successfully designed and developed numerous large-scale deep learning systems, effectively brought products to market, achieved substantial million-dollar revenue generation, and made notable contributions to pioneering research within the field. I completed my Ph.D. in AI at Maastricht University in the Netherlands and Masters from IIT Chennai in Computer Science.My professional journey led me to contribute at prominent organizations such as Philips Research, GE, and Nordic Neuro Lab in Norway. I've been instrumental in guiding numerous clients on Machine Learning, constructing an extensive array of deep learning models for challenges encompassing text, vision, and speech. My portfolio comprises a blend of inventive, algorithmic solutions as well as hands-on involvement across the technological spectrum. Recent projects involve: - Generative models + Information Retrieval - Chatbot for internal company documents - AI powered information extraction from structured and unstructured documents with over 98% accuracy - Prompt engineering to enable desired LLM outputs for procurement domain enabling in significant cost reduction. My expertise includes: I’m a researcher with hands-on experience on cutting edge tech. - large language model programs (GPT3/GPT4, search, OpenAI API, Langchain, prompt engineering) - cloud: Docker/Kubernetes/AWS/GCP. - programming Stack: Python, Pytorch As an Entrepreneur I creates, develops, and brings new products to the market. I take on the role of both an entrepreneur and a product manager, overseeing the entire lifecycle of a product from ideation to development and launch. I tries to identify market-gap and try to bridge it with designing innovative solutions and navigate the challenges of turning client ideas into successful products that meet customer demands. I've also authored over 8 journal articles, contributed to more than 50 publications, and hold more than 20 US patents. Key Engagements in past: - Chatbot for internal company documents using GPT. This platform has helped company in improved information retrieval, reduced workload for customer support staff, cost savings, and enhanced employee experience. The chatbot's ability to provide consistent, accurate, and accessible information contributes to increased productivity and organizational efficiency. - Led the development of image-based, automated soccer game automation. This includes ball tracking, camera movement analysis and identifying movements like ball with a player, ball hitting ground etc. - Data extraction from unstructured documents , invoices and contracts using deep learning information extraction algorithm. IP is filed for the novelty. - Delivered segmentation of T1W images, classification of chest X-ray images to the hospitals which saves time and cost for hospitals and insurance companies.