BeTNet, a hybrid BERT-CNN classifier that detects phishing URLs at 98.33% accuracy and 99.31% sensitivity.
Aug 2024 – Jun 2025 · URECA
- research
- AI / ML
Shanmugapriyan Kalaiselvan
CS @ NTU Singapore. I build low-latency systems in C++ and ship full-stack, AI-driven products.
Experience
- SAP — Full Stack Developer Intern (AI Topics)Jan 2026 – May 2026
- NTU College of Computing and Data Science — Undergraduate Researcher (URECA)Aug 2024 – Jun 2025
Featured projects
All projects →Decentralized uptime monitoring that makes SLA verification tamper-proof — validators stake, reach consensus on incidents, and are slashed for dishonesty.
Oct 2025 – Nov 2025
- blockchain
- Full-stack
AI e-commerce app that scores listing authenticity across Shopee, Lazada, and Amazon.sg from one search.
DSTA BrainHack 2025 Finalist
May 2025 – Jun 2025
- Full-stack
- AI / ML
- mobile
MERN social reading platform with AI review summaries, real-time book clubs, and playlist-style recommendations.
Jan 2025 – Apr 2025
- Full-stack
Currently focused on low-latency C++ and systems performance — building a GPU workload profiler as my final-year project. Previously a Full Stack (AI) intern at SAP.