Ritesh Kumar Pandey

Developing and maintaining Jio Smart Document Platform (JSDP) using Large Language Models (LLMs), GenAI, NLP and Computer Vision to process different invoice documents within Reliance Industries. Optimized the Document Quality Analysis Microservice, reducing the processing time from 1 minute 48 seconds to 4 seconds, enhancing overall operational efficiency. Developed the Topic Modeling Microservice achieving 98% accuracy in determining Nature of Payment from Invoice Descriptions, surpassing GPT models' baseline accuracy of 56%.

Integrated DGI Drone's SDK with the in-house Mobile Application, facilitating seamless operations for Drone Videography Services. Spearheaded the development of Flight Control Algorithm, ensuring precise and stable Autonomous Drone Flight with ~3 degrees variation in Flight Path. Leveraged GCP and AWS for daily system log analysis, proactively identifying and resolving potential failures, resulting in a significant reduction from an average of 15 issues per 20 flights to just 2 issues per 20 flights, enhancing system reliability.

Developed & deployed the software “Weather-based Short Term Load Forecasting using AI-ML (WBSTLF)” at Tata Power, Trombay – Mumbai, enabling efficient electric load distribution and optimized power allocation to enhance customer service in managed areas. Performed Data Engineering, developed Software Solution with Data Visualization, and utilized Ensemble AI Architectures to forecast electric load with high accuracy of ~96% based on weather parameters, accounting for deviations in load patterns to reduce manual prediction efforts.

Specialization in Artificial Intelligence – Data Mining & Business Intelligence, Machine Learning & Deep Learning, Reinforcement Learning, Big Data Analytics, Natural Language Processing, Explainable AI & Responsible AI. Chairperson – Institution’s Innovation Council (IIC), Vice-Chairperson – The Institution of Engineers, India (IEI).