- 🎓 BS Software Engineering — National Textile University, Faisalabad
- 💻 Building full-stack applications with React, Node.js, Express, MongoDB, and REST APIs
- 🤖 Working with Python, Scikit-learn, RAG systems, and LLM/API integrations
- 🔬 Researching AI-assisted software engineering, developer productivity, code quality, and vulnerability analytics
- 🧩 Interested in backend architecture, API design, data-driven engineering, and practical AI systems
- Built machine-learning models to study developer productivity and code-quality patterns.
- Applied classification, confusion matrices, F1-score analysis, statistical analysis, and feature evaluation.
- Investigated relationships between AI-assisted development, development speed, and defect rates while accounting for factors such as sleep and cognitive load.
- Analyzed 4,430 CVE-linked vulnerability-fixing commits across 348 open-source C/C++ repositories.
- Examined CWE distributions and project-level vulnerability concentration.
- Used data analysis and machine-learning techniques to study patterns in software vulnerabilities.
- AI-Assisted Software Engineering
- LLMs and RAG Systems
- Developer Productivity and Code Quality
- Vulnerability Analytics and Software Security
- Backend Systems and API Architecture
- Full-Stack Web Engineering
