Selected work
- Adaptive Handover Optimization in Open RAN TensorFlow, TFLite, Python
- Seccomp-based System Call Filtering C, Linux, Seccomp
- CCTV Deployment Optimization Python, PyQt5, ILP
AI / ML Researcher
Paul Jose
I build AI/ML solutions that turn complex data into actionable insights and measurable improvements. My work includes signal-based modeling, predictive systems, and optimization, where I focus on developing reliable and interpretable models grounded in real-world constraints. These systems can be applied to enhance decision-making, improve system performance, and support engineering workflows across domains.
Experience
- Loading 3.0 Actively looking for new opportunities to contribute
- Research Intern, NIT-Trichy EEG classification and deep learning research
- Apprentice Network Engineer, AT&T Network automation, routing, and infrastructure support
Education
M.Tech in Computer Science and Engineering
Mar Athanasius College of Engineering • CGPA 8.58/10
B.Tech in Computer Science and Engineering
APJ Abdul Kalam Technological University • CGPA 7.43/10