Engineer • AI Systems • Hardware Acceleration • Security
I focus on architecting and deploying production-grade AI systems on hardware, with an emphasis on efficiency, security, and verifiability.
- 🧠 Machine Learning Systems (PyTorch, TensorFlow)
- ⚡ FPGA Acceleration (NNGEN, Verilog workflows)
- 🔐 Secure AI & Cybersecurity (sandboxing, threat modeling)
- 🛠 Backend & Infra (FastAPI, Docker, Redis)
- Reduced SDLC overhead by 45% via workflow automation
- Built OCR system with 94% real-world accuracy
- Mentored 6 postgraduate theses (2025)
- FPGA-optimized neural architectures
- Blockchain-enabled edge AI
- Trusted AI pipelines
AI Systems • FPGA Research • Secure AI • Applied ML