Welcome to my webpage!
I love learning new skills, tackling new challenges, cooking, and discovering new places.

Bio:
I am a Research Assistant and Teaching Assistant in the Software Engineering for Good (SFG) Lab at Lahore University of Management Sciences (LUMS).
My work focuses on the intersection of Artificial Intelligence, Agentic AI, and Software Engineering, exploring how intelligent systems can transform software development processes.

As a Data Evangelist, I’m deeply interested in applying data analysis, data mining, data science and machine learning to solve real-world software engineering challenges—from automated review systems to version release engineering and mining software repositories.

Research Interests:

• Data Analysis & Data Mining

• Machine Learning & Data Science

• Large Language Models (LLMs) & Agentic AI

• Mining Software Repositories (MSR)

• Empirical Software Engineering

• Version Release & Automation

Publications:

Syeda Kaneez Fatima, Shazia Arshad, Muhammad Awais Hassan, Faiza Iqbal, Ayesha Altaf, Iram Aziz, Imran Ashraf, Nagwan Abdel Samee (2025).
“Context-Aware Chatbot for Personal Healthcare Assistance using LLMs and LangChain.”
Journal of Intelligent Information Systems, Springer Nature.
https://doi.org/10.1007/s10844-025-00970-4

This research presents a context-aware healthcare chatbot using LLMs and LangChain, integrating personalized and retrieval-augmented dialogue systems for improved medical assistance.

Projects:

Current Projects:

• Understanding the Role and Impact of Reviewer Bots in Agentic Pull Requests
  An empirical study investigating how agentic AI reviewers behave and influence decision-making in automated agentic code reviews. (MSR 2025 Project)

• Version Release Comparison of Scaffolding Agents
  Collaborative work with Dr. Abdul Ali Bangash, analyzing release versioning patterns and the evolution of agentic scaffolding systems.
  Past Projects:

• Context-Aware Chatbot for Personal Healthcare Assistance using LLMs and LangChain, developed a personalized chatbot using retrieval-augmented generation (RAG) and chain-of-thought (CoT) prompt chaining, published in Springer Nature.

• Impact of Graph Anonymization on Cross-Project Defect Prediction Models,
  co-authored with Akshat Malik, and supervised by Dr. Abdul Ali Bangash, LUMS and Dr. Bram Adams, Queen's University, examining how graph anonymization techniques on data affect model performance in cross-project settings. The paper has been revised based on peer reviewer feedback and is nearing re-submission to Empirical Software Engineering (EMSE). 

Education:

• MS Computer Science, University of Engineering and Technology, Lahore (2021–2024)

• BS Computer Science, University of Engineering and Technology, Lahore (2017–2021)