Wandering in nature is my first thing and asking good questions is second. Inspired by the algorithms applied behind beautiful nature. Graph are the most beautiful techniques to understand science.
I am computer science lecturer at GIKI.
My research focuses on Natural Language Processing (NLP), Large Language Models (LLMs), and Agentic AI, with an interest in developing trustworthy, human-centered AI systems. I investigate how language models and intelligent agents understand, retrieve, and utilize knowledge in multilingual and real-world settings, including multilingual/low-resource NLP, retrieval-augmented generation (RAG), and information retrieval and knowledge grounding.
I was awarded Outstanding Instructor by the Data Science Department at GIKI in May 2025. Current research focus on human-centered Multi Agent Systems and Responsible AI
Teaching Data Science, Cloud Computing, DevOps Lab, Information Retrieval, Big Data Analytics - Coordinator, Data Science Students Summer Internships & Curriculum Committee - Batch Advisor, DS Final Year Students - Supervising FYPs including Health Atlas (AI-driven prescription digitization & disease mapping) - Instructor, ML to LLM Summer Bootcamp (Jul–Aug 2025) - Outstanding Instructor Award, May 2025
Taught Operating Systems, Discrete Structures, Data Structures, Parallel Distributed Computing - Faculty Head, ACM Chapter (2021–22) and ACM-Women Chapter (2022–23) - Supervised research on virtual therapy, ML-based TB detection, resume screening
Labs for Programming Fundamentals, Data Structures, Operating Systems, ICT Tools
Towards Human-Centered Multi-Agent Systems: Integrating Cognition, Culture, Values and Cooperation in AI Agents
arXiv preprint · 2026
arXiv [arXiv:2606.08274]Governed by Agents: A Survey on the Role of Agentic AI in Future Computing Environments
arXiv preprint · 2025
arXiv [arXiv:2509.16676]Forecasting the Stability of COVID-19 Vaccine Companies Stock Market using LSTM and Time-Series Models
International Conference on Communication, Computing and Digital Systems (C-CODE / ICCDS) · 2023
Conference [IEEE]UrduTokBench: A Multidomain Tokenization Benchmark for Urdu NLP
In PreparationFrom Labels to Latent Topics: Benchmarking Text Mining Approaches on AG News
In PreparationProject Gallery
SunSet
Nature
River
Friendly Cloud
Art & Craft