Projects

Government-sponsored initiatives, enterprise LLM safety benchmarks, and adaptive multi-agent frameworks built at RespAI Lab.

Systems & Benchmarks

Research Projects

Government-sponsored initiatives, enterprise LLM safety benchmarks, and deployed production platforms.

Funded Research Initiatives

1 Project
Machine Unlearning
SERB Funded (Completed)

Machine Unlearning

Government of India (SERB) sponsored initiative (₹30.5 Lakh) investigating algorithmic data removal and privacy compliance in deep learning models without performance degradation. Successfully completed on January 1, 2026.

Core Research & Open Benchmarks

3 Projects
OrgAccess
EMNLP 2025

OrgAccess

A Benchmark for Role-Based Access Control in Organization-Scale LLMs — testing whether models can reliably respect organizational roles, permissions, and access boundaries.

Pedagogical LLM Agents
EMNLP 2025

Pedagogical LLM Agents

Adaptive Teacher and Student Multi-Agent Simulation: Genetic Policy Adaptation Meets Persona-based Retrieval Augmented Generation (Accepted at EMNLP 2025).

Right Prediction, Wrong Reasoning
Healthcare AI Safety

Right Prediction, Wrong Reasoning

Uncovering LLM Misalignment in Rheumatoid Arthritis Disease Diagnosis: AI models can achieve high classification accuracy while generating clinically flawed medical explanations.

Production Systems & Web Platforms

1 Project
FormBharlo
Live Platform

FormBharlo

Har Sarkari Bharti, Ek Jagah — A high-performance full-stack recruitment portal offering real-time government job alerts, active application tracking, and exam utility tools.