Trustworthy AI · Responsible / Ethical AI · Cybersecurity · Agentic Systems
I design and ship explainable, safety-constrained AI across two fronts that matter to me equally:
- Cybersecurity — systems that detect threats, ground answers in evidence, and refuse to overclaim when the signal is weak
- Ethical & responsible AI — tools that audit LLM judgments, stress-test moral consistency, and review agent actions before they execute
Not demos that look smart until you ask why. Every project below is live, tested, and built with production-minded constraints (guardrails, CI, reproducible artifacts).
| Project | What it does | Proof | Links |
|---|---|---|---|
| Breach Precursor Detector | Anomaly detection over multi-source EDR telemetry (CrowdStrike Falcon, Sysmon, Windows 4688) with confidence gating and SHAP explanations | 12 behavioral features · Isolation Forest · 92 CI tests · Dockerized | Code · Demo |
| MITRE ATT&CK Chain Visualizer | Groups telemetry into multi-stage attack chains (Execution → Credential Access → Persistence) with explainable confidence scoring | 12K+ events → 11K+ chains · live on Streamlit Cloud | Code · Demo |
| Threat Intelligence Assistant | RAG over MITRE ATT&CK + CISA KEV with mandatory citations, confidence scoring, and hard abstention | 3,312 indexed chunks · 49 tests · 11/12 inspector cases PASS | Code · Demo |
| Simple Autonomous Security Agent | Transparent ReAct SOC agent with tool guardrails, private-IP blocking, and a deterministic risk floor | 4 read-only tools · 64 offline tests · live demo | Code · Demo |
| Project | What it does | Proof | Links |
|---|---|---|---|
| Ethical Decision Simulator | Stress-tests LLMs on moral dilemmas with framework detection and consistency checks under framing shifts | Structured verdicts · crisis-content guardrails · cross-model agreement metrics | Code · Demo |
| Ethical Agent Auditor | Real-time review of proposed agent actions via hybrid rules + Chroma RAG + LLM scoring | 5 ethical principles · 36 CI tests · Docker + Streamlit Cloud | Code · Demo |
- Evidence over vibes — citations required, abstention when retrieval is weak, SHAP and rule-based explanations for analysts
- Safety by design — input/tool guardrails, rate limits, deterministic floors so models cannot under-rate hard evidence
- Ethics under scrutiny — framework-aware auditing, consistency checks across rephrased scenarios, structured reports instead of black-box “right answers”
- Ship it — Streamlit Cloud demos, Docker/Compose, GitHub Actions CI, committed indexes and demo data for clone-and-run
Python · Pandas / PyArrow · scikit-learn · SHAP · FAISS / Chroma · Groq / Ollama · Hugging Face · Streamlit · Plotly · Pydantic · Docker · GitHub Actions
Trustworthy & agentic AI · ethical / responsible AI tooling · breach precursor detection · explainable behavioral analytics · LLM consistency and agent-action auditing
If you're hiring for — or building — trustworthy AI for cybersecurity or ethical / responsible AI systems, open an issue on any of the repos above or reach out. I care about systems that hold up under scrutiny.