Passionate about Deep Learning—especially Generative AI, CNNs, and Transformers. I love exploring Machine Learning, Data Science, and Software Development. Currently working on Healthcare Fraud Detection & Risk Scoring.
A passionate Data Scientist and AI Engineer with expertise in Generative AI, Large Multimodal Models, and Agentic Systems. Currently working at Bajaj Finserv Health Limited, I've built AI solutions that have significantly improved business metrics.
Built Enigma, a GenAI platform reducing claims processing time by 50%
Sharp Shark Award & PropelX 4.0 program selection
B.Tech in Information Technology from Manipal Institute of Technology (CGPA: 8.29)
Fun fact: I can train a neural network all night… but I'll never skip a dance break! 💃
Building an end-to-end tree-based fraud prediction model with 200+ temporal, behavioral, and clinical features achieving PR-AUC of 0.454 on highly imbalanced real-world claims data. Developed an explainability framework combining SHAP-driven insights with historical pattern analysis.
Built Enigma, a GenAI claims platform modernizing legacy adjudication; reduced AHT by 50% and AER by 37%. Designed SOP compliance pipeline on Large Multimodal Models driving 50% MoM increase in auto-approvals. Today, 100% of claims flow through Enigma with fault-tolerant microservices using Apache Kafka.
Built an Email and App Query automation service using hybrid AI models, increasing Non-Voice Auto-Reply Rate from 3% to 40%.
Engineered a distributed facility intelligence pipeline on the National Healthcare Providers Registry using Python on AKS containers, uncovering ~80% previously unmapped facilities for market research and expansion.
Developed using Azure OpenAI (GPT-4), FastAPI and Chroma vector DB to automate vendor security questionnaires with structured answers and evidence links, reducing manual effort for third-party assessments.
Built a full-stack Agentic AI chatbot using Retrieval Augmented Generation (RAG) with Langchain and OpenAI's GPT-3.5. Created multiple tools for task execution and enabled spin-up of ailment-specific chatbots with context-aware system prompts.
Designed a geospatial model using K-Nearest Neighbors and distance-weighted features to identify underserved regions, prioritizing high-impact pincodes for doctor onboarding and cashless coverage growth.
Built an internal metadata search interface integrated with AWS Redshift's metadata framework to improve schema discoverability across the data lake.
Contributed to a roadmap for scalable metadata cataloging and governance across the organization.
Everything AI
Full-Stack AI Overlay Desktop Application for Interviews & Sales Calls
Agentic AI Travel Application
An Agentic AI Travel Application that plans the best itineraries from multimodal user input
Mixed-precision DDP Training
Mixed-precision DDP training of ResNet-50 from scratch on AWS EC2 using PyTorch
Reasoning-driven AI Agent
Reasoning-driven Telegram agent using Model Context Protocol (MCP)
I'm always open for exciting opportunities & collaborations! Whether you want to discuss AI innovations, explore project partnerships, or just have a chat about the latest in neural network architectures.
Looking for collaborators to build scalable Advanced Agentic AI Systems!