Research & Publications
Work at the intersection of peer-review transparency, argumentation theory, and applied GenAI systems.
Dynamic Optimization of Peer Review Length Using Information Density Analysis
Introduces an information-density framework that balances relevance, argumentative strength, and cognitive load to optimise peer-review length.
AntiBug: Runtime-Aware Multimodal Agentic Program Repair for Production Applications
Proposes a novel automated software patching framework using multimodal runtime telemetry (stack traces, screenshots) and specialized agent orchestration for hypothesis-driven repair.
FRAC-MAS: Fracture Radiograph Analysis using Conformal Multi-Agent System
Introduces a conformal multi-agent fracture radiograph pipeline integrating robust visual models with specialized LLMs, ensuring statistically grounded diagnoses for clinical workflow integration.
BiasChain: A Multi-Agent LLM Framework for Justified Peer Review Bias Detection
Automates bias detection in peer reviews by orchestrating specialized agents for sentiment coherence, internal consistency, and inter-review alignment.
DigniFy: Multi-Modal Multilingual Online Hate Speech Detection
Presents a theoretical framework and pipeline for multilingual, multimodal safety systems with interactive LLM orchestration to detect online hate speech.
Evaluating Large Language Models for Automated Requirement Generation in IT Projects
A comprehensive benchmark comparing DeepSeek R1, GPT-4o, Gemini 2.0, and LLaMA 3.2 on BLEU, Levenshtein, and Jaccard metrics for requirement engineering.
Achievements & Recognition
GATE DS&AI Rank 499
Ranked 499 nationwide among 60,000+ candidates in GATE Data Science & AI, demonstrating strong theoretical foundations.
Amazon ML Challenge Rank 292
Placed 292 out of 70,000+ participants in Amazon ML Challenge 2024, showcasing applied machine-learning expertise.
CodeBounty 2024 Winner
Won the flagship competitive programming contest at DJSCE, highlighting algorithmic design strengths.