I am a final-year Ph.D. researcher in Computer Science at the University of Maryland, Baltimore County (UMBC), advised by Dr. Frank Ferraro. I’ve also interned at Amazon Science (Alexa AI; Summer 2025 + returning Summer 2026) and Scale AI (Summer 2024). My research focuses on three areas where modern LLMs fail predictably - (1) complex reasoning, (2) tool-use, and (3) modality conflict - to make them more reliable, efficient, and aligned.

• Reasoning & Decomposition
  • Atomic, presupposition-free decomposition for robust claim verification [De-Presuppose]
  • Token-efficient math reasoning via distractor-aware computational graphs [DAGGER]
  • Curriculum-driven GRPO for math reasoning in under-resourced languages [GanitLLM]
  • Hierarchical event abstraction for compositional sequence modeling [SHEM]
• Agentic LLMs & Reinforcement Learning
  • Tool-calling alignment via policy-grounded deliberation [PA3]
  • Multi-agent benchmarks for diagnosing collaboration failures [AgentCollabBench]
  • Mechanistic analysis of token saliency in on-policy distillation [Rock Tokens]
  • Metacognitive control in LLMs under resource constraints [TRIAGE]
• Multimodal Learning & Evaluation
  • Reference-free factuality metric for video captions [VC-Inspector]
  • Calibrated abstention under modality conflict in omni-modal models [OMD]
  • Zero-shot multilingual text-to-video retrieval via temporal event decomposition [Q2E]

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Beyond Research

I founded UniShopr (2017–2021), a cross-border e-commerce platform serving consumers in Bangladesh.

I’ve also competed internationally in robotics and algorithms - placing 9th at the University Rover Challenge 2015 (Utah, USA) and 22nd at the European Rover Challenge 2016 (Poland), ranking 8th out of 300+ teams at the 2018 ACM ICPC Asia Dhaka Regional with multiple regional and national placements, and reaching the top 70 on Kaggle 🥉 in the Birdcall Identification competition. Full list of awards →