🚀 AI Security | Edge Intelligence | Systems Engineering
Building resilient, intelligent, and secure systems through applied AI.
I’m an engineer passionate about combining AI, system design, and cybersecurity to build trusted intelligent platforms.
My work spans transformer-based NLP, edge inference optimization, and cyber defense automation — all driven by real-world deployment and impact.
- 🛡️ AI for Threat Detection – Transformer and BERT-based phishing & malicious URL classification
- ⚙️ Edge & Systems Optimization – Quantization, LoRA/PEFT fine-tuning, and ONNX deployment
- 🔬 MLOps & Secure Automation – Model pipelines, CI/CD for security models, and endpoint resilience
| Project | Description | Tech Stack |
|---|---|---|
| 🧠 Malicious URL Detector | Fine-tuned transformer models for real-time phishing detection | PyTorch · LoRA · ONNX · Transformers |
| 🔐 Policy Automation Toolkit | Automates SEAndroid & system security policy workflows | Python · FastAPI · ElasticSearch |
| ⚙️ Edge-AI Pipeline | Secure, production-ready MLOps for on-device inference | Docker · MLflow · TensorFlow Lite |
Python · C++ · PyTorch · Transformers · TensorFlow Lite · ONNX Runtime · Kubernetes · MLOps · Security Automation
- Fine-tuned BERT/DistilBERT models with PEFT + quantization for 97% precision @ <150 ms latency
- Built on-device phishing detection pipeline as part of an endpoint resilience platform
- Experimenting with SOC automation & LLM reasoning for cybersecurity
💼 LinkedIn • 🧠 Portfolio • ✉️ Email
"Building secure intelligence where AI meets resilience." 🔒