Indore, Madhya Pradesh, India
Currently working as a Data Scientist 2 at Deloitte, contributing to the development and optimization of advanced retrieval-augmented generation (RAG) systems and generative AI projects. Expertise includes tool selection, model enhancements, and system optimization to drive efficiency and scalability. Proficient in designing and automating MLOps pipelines, ensuring seamless deployment and monitoring of machine learning models. Holds a Bachelor of Technology degree in Electronics and Communications Engineering from The LNM Institute of Information Technology. Passionate about leveraging technical knowledge and data science capabilities to deliver innovative solutions. Skilled in RAG, data modeling, and generative AI, with a commitment to advancing knowledge workflows and system performance.
. Core developer of GenW.AI, Deloitte India’s first fully India-built product, contributing to its architecture, development, and successful deployment. . Proficient in Agent Builder and App Maker under the GenW.AI ecosystem, enabling rapid end-to-end application development and streamlined solution delivery. . Led the end-to-end development of 20+ business use cases from conceptualization to deployment across internal teams and client environments, driving measurable improvements in efficiency, time savings, and operational effectiveness.
Engineered and deployed Advanced RAG systems (OpenWebUI, Agentic RAG), achieving 95% precision in information retrieval and optimizing knowledge workflows. Led end-to-end GenAI integration, driving tool selection, model enhancements, and system optimization for maximum efficiency and scalability. Designed and automated MLOps pipelines with Docker and Model Monitoring, ensuring seamless deployment, reliability, and performance at scale and reduce processing time by 75%.
Utilized real-world datasets and machine learning algorithms to predict Walmart sales. Attained an outstanding 98.04% success rate, indicating strong predictive modelling skills.