Ph.D. Student, Department of CSE, IIIT Delhi · New Delhi, India
I'm a Ph.D. student at IIIT Delhi, advised by Dr. Rinku Shah at the Networks, Edge, and SysTems (NESt) Lab. My research sits at the intersection of computer systems and machine learning.
🌐 Portfolio: alimohammad12314.github.io/portfolio-ali · 📄 CV: Download
Computer Systems & Applications · Agentic Systems · Systems for ML · Systems & Security · Multi-Task Learning · Explainable AI
- Ph.D., Computer Science & Engineering, IIIT Delhi (2026 – Present)
- B.Tech., Computer Engineering, ZHCET, Aligarh Muslim University (2022 – 2026) · CGPA 9.033/10
- F. Alam, M. Ali, N. Akhtar. An Artificial Intelligence and Machine Learning–Based In-Silico Framework for Novel Inhibitor Discovery in Diabetes Mellitus. Proc. IEEE IMPACT 2026. [IEEE Xplore] 🏆 Best Paper Award — AI/ML Applications
| Languages | Python, C, C++, JavaScript |
| ML & AI | PyTorch, TensorFlow, Scikit-Learn, SHAP, CTGAN, OpenCV |
| Systems | FastAPI, Docker, REST APIs, CI/CD, Linux |
| Data | SQL, MongoDB |
| Tools | Git, Jupyter, Google Colab, LaTeX |
"Nobody promised it would be easy, just that it would be worth it."