About

I am a highly motivated researcher specializing in Natural Language Processing (NLP) and AI, passionate about advancing research in fact verification of health information using AI, information extraction using large language and vision-language models and AI for document understanding. I thrive on solving real-world problems with cutting-edge technology and contributing to the open-source community.

Research Interests

Natural Language Processing Large Language Models Vision-Language Models Information Extraction Health Information Fact-Checking Named Entity Recognition Transformer Models Prompt Engineering Multimodal AI Health Informatics Code-Mixed NLP AI for Business Process Mining Language Endangerment

Research Topics Network

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Core Research
Applications
Methods
Domains

Latest News & Updates

March 2026

Paper Accepted at ACM SAC 2026

Our work on "Structured Extraction from Business Process Diagrams Using Vision-Language Models" has been accepted for presentation at ACM SAC 2026.

January 2025

Vision and Language Symposium Speaker

Main speaker at the Vision and Language Symposium 2025 held at Queen's University Belfast.

May 2024

Started as Research Fellow at QUB

Joined Queen's University Belfast as a Research Fellow in AI, focusing on corporate document understanding with LLMs and VLMs.

December 2024

PhD Completed

Successfully defended PhD thesis on "Evidence-Based Approach to Verification of Online Health-Related Content" at Queen's University Belfast.

Academic Journey

Skills

Python
NLP
LLM/VLM
Data Pipelines
Information Extraction
Model Evaluation
Research

Experience

Research Fellow (AI)

May 2024–Ongoing | Queen's University Belfast
  • Focusing on AI for corporate document understanding with multimodal data processing
  • Investigating GPT-based models and open-source LLMs/VLMs for corporate data analysis
  • Integrating NLP and prompt engineering to streamline information extraction
  • Evaluating prompts and models on curated process diagram datasets
  • Developed agentic AI workflows converting flowchart and process diagram images into executable diagram code, supporting process standardisation and documentation.
  • Delivered high-accuracy multimodal AI pipelines by fine-tuning open-source VLMs (Qwen2.5-VL, Qwen3-VL, Gemma 3) and applying advanced prompt and context engineering with frontier LLM APIs (GPT-4.1, GPT-5.2, Gemini 2.5 Flash), outperforming OCR-centric approaches by a wide margin.

Subject Teacher

May 2025–August 2025 | INTO Queen's University Belfast
  • Delivered lectures in Object-Oriented Programming using C++
  • Designed assignments, assessments, and practical coding labs
  • Implemented student engagement techniques and formative assessment tools

Senior Research Assistant (AI-Security)

Jul 2023–Jan 2024 | University of Southampton
  • Led a team to create a NER dataset for cyber-attack attribution
  • Developed methods and metrics for dataset quality assessment
  • Ensured dataset suitability for training NER models in cybersecurity

AI Intern

Mar 2022–Sep 2022 | Momentone
  • Built a mental health chatbot using Rasa and HuggingFace transformers
  • Developed NLP solutions for mental health support

Lecturer

Aug 2018–Sep 2019 | Royal Global University, Assam
  • Taught Python, C++ OOP, Data Structures, and Algorithms
  • Supervised undergraduate projects and contributed to curriculum development

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