Research interests: Post-training Small Language Models (SLMs), Reinforcement Learning for Language Models, LLM behavior, and efficient architectures.
Currently at Arctic Wolf Networks.
Previously:
- Built RL models for autonomous drone navigation (PPO) and predictive battery State-of-Charge models as a Research Intern at IISc
- Designed RESTful APIs and a hybrid-retrieval RAG chatbot as an AI Engineer Intern at ProjektAnalytics
- Built a RAG pipeline for clinical query answering and a live speech-to-text application as a Research Intern at Boltzmann Labs
- Contribute to FOSS across the AI ecosystem, including Hugging Face Diffusers/Transformers
- Shipped projects spanning agentic CLI assistants, hate-speech classification with explainability, LLM-based topic modelling, and automated content pipelines
- HyperGNNs for Multi-Modal Classification and Severity Analysis of Neurodegenerative Disorders — ICTIS 2026
- BiasNet: A Contrastive GNN Based Framework for Classifying Political Stance in News — FTNCT 2025
- Reading Between the Lines: LLM-Powered Topic Modelling and Graph-Based Insights from Research Abstracts — WCAIAA 2025
- Comparative Analysis of Traffic Accident Detection with Emphasis on Explainability of DL Models — ICMBDC 2024
- ACM ICPC Asia West Regionalist - 2025
- Flipr Hackathon 26.1 - Runners Up
- LeetCode Guardian - @activation-tanh
Open to conversations on pre-trianing and post-training of language models — reach out via email or LinkedIn.