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Report abuseSystems Security & AI Engineer | Aspiring Graduate Researcher Building at the intersection of threat detection, industrial control systems (ICS/OT) security, and financial risk intelligence.
I design and implement security-hardened systems, edge telemetry validation gateways, and deep learning pipelines. My work focuses on:
| Project | Research & Engineering Focus | Core Stack |
|---|---|---|
| aegis-ics | Zero-trust MQTT gateway featuring Stuxnet-proof AI-policy enforcer, trust scoring engine, and ESP32 hardware loop simulation. | Python, Flask, MQTT/TLS, ESP32, C++ |
| aegis-bank | Multi-agent threat detection and financial risk blast radius quantification pipeline built with LangGraph and FastAPI. | LangGraph, FastAPI, React, PostgreSQL |
| bergg-tactical-recon | Urban recon HUD and Wi-Fi heatmapping framework integrating ESP32 sensor scanning with MapLibre GL. | FastAPI, React, MapLibre GL, Docker, ESP32 |
| digital-surveillance-system | Real-time surveillance tracking and anomaly detection using YOLOv8, DeepSORT, and an LSTM Autoencoder. | PyTorch, OpenCV, YOLOv8, FastAPI |
| image-forgery-detection | Forgery detection pipeline processing Error Level Analysis (ELA) through fine-tuned CNNs and Grad-CAM spatial explanations. | PyTorch (ResNet), Streamlit, OpenCV |
“Complexity is the enemy of security.” — Bruce Schneier. I build systems to prove it.
Forgery detection pipeline processing Error Level Analysis (ELA) through fine-tuned Dual-Stream CNNs and Grad-CAM.
Industrial cybersecurity risk quantification platform for OT attacks and financial exposure built with LangGraph.
Python
Real-time surveillance tracking and anomaly detection using YOLOv8, DeepSORT, and an LSTM Autoencoder.
Python 1
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