Privacy Program Manager by profession. Local-AI researcher by obsession.

My career protecting user privacy taught me something uncomfortable: the AI tools we rely on daily are architecturally incompatible with meaningful data sovereignty. Every query, every document, every personal thought fed into a cloud assistant traverses infrastructure you don't control, governed by policies you didn't write.

So I'm building the alternative.

BlarAI is my primary research project: a security-first, multi-agent AI system designed to run entirely on a single consumer laptop — no cloud, no telemetry, no external network calls. Ever.

The system runs on an Intel Core Ultra 7 258V (Lunar Lake) with 32 GB LPDDR5X and an Arc 140V GPU, and includes:

• Policy Agent — A hybrid deterministic + probabilistic security gatekeeper that intercepts and classifies every inter-agent action before execution. Fail-closed by default.
• Private Assistant — A conversational AI with streaming TUI, modular skill routing, and a four-layer defense-in-depth against indirect prompt injection.
• Personal Knowledge Substrate — Semantically indexed local knowledge base with isochronous timing enforcement to eliminate retrieval side-channels.
• Local Code Agent — GPU-accelerated code generation producing atomic Git diffs with compile-test-oracle gate loops.

The architecture enforces hardware-rooted trust (Pluton measured boot), cryptographic action authorization (single-use Agentic JWTs with 5-second TTL), and mTLS over Hyper-V vsock IPC — ensuring that no single-layer failure can authorize a malicious action.

Built with OpenVINO · OpenVINO GenAI · Python · Qwen3 · Intel Arc GPU · Intel NPU

I contribute upstream fixes to the tools I depend on:

• openvinotoolkit/npu_compiler#265 — Guard ConvertFCToConv against zero-sized channel dimensions (LLVM abort fix)
• openvinotoolkit/npu_compiler#266 — Defense-in-depth: reject zero-dim FC ops in UnrollFullyConnected
• openvinotoolkit/openvino#34450 — Filed: LLVM abort in as_convolution pass for Qwen3-0.6B INT4 on Lunar Lake NPU
• openvinotoolkit/openvino#34617 — Filed: compile_model fails with dynamic shape error for Qwen3-0.6B INT4
• openvinotoolkit/openvino#34651 — PR: Early guard for unbounded dynamic shapes in NPU compile_model (fixes #34617, addresses 4 related issues)
• openvinotoolkit/openvino.genai#3429 — Filed: LLMPipeline NPU draft model abort on Lunar Lake

Every bug I file comes from real workloads running real models on real hardware — not synthetic benchmarks.

I practice AI-assisted development — I architect systems, make design decisions, and direct AI agents (GitHub Copilot, LLM-powered coding workflows) to implement, test, and operationalize the software. Every line of code in BlarAI was produced through human-directed AI collaboration: I own the architecture and every technical decision; AI agents own the keystrokes.

I'm transparent about this because I think it's the future of software engineering — and because the results speak for themselves: 780+ tests, 9 formally specified use cases, hardware-validated on real silicon.

My passion for privacy fuels my research with local AI. I believe the average consumer device — the laptop already on your desk — can run powerful AI tools privately and securely, without surrendering your data to someone else's server.

I seek to contribute to open source projects that make this a reality for everyone.