Engineered orchestration of ensemble approach to benchmarked LLMs and foundation open-source NERmodels-based pipelines that automate the complete process of extracting and ingesting data from Claimdocument files to databases resulting in 39% automated data processing and resource savings

Developed a full-stack generative-AI-based conversational web app built from scratch using Vite+React.js as the frontend framework, Django REST Framework APIs for the backend and MongoDB as the database. Deployed the project to a production-ready configuration using Google Cloud

◦ Fine-tuned auto-encoder-based bore-hole compression by 50% less inference time, predictive modelling on rig-well data for clients at Saudi Aramco, and extracted tabular data from geochemical reports by OCR◦ Developed such SaaS use cases for stakeholders namely an NLP and OCR based Incident classifier,automated wireline workflows and calculations, reducing manual SME efforts, and saving vendors costs

Led a team of 80+ students to organize numerous events that comprised pan-India hackathons and workshops to promote Data Science and AI

- Developed Django REST APIs for an NLP-based e-commerce bargaining chatbot’s dashboard- Worked within a Scrum framework with Jira, Git, Docker, Postman, Digital Ocean, & PostgreSQL

Engineered a sustainable serverless cloud architecture using AWS Amplify, S3, Cognito, DynamoDB,AppSync, and GraphQL and deployed a CI/CD pipeline for the app’s backend

Co-hosted the 6th International Conference of ICDMAI