GitHub Developer Program Member — building and experimenting with software that integrates with the GitHub ecosystem. GitHub automatically displays the official Developer Program Member badge on eligible profiles. Program details

I build AI systems, developer tools, automation, and experimental software systems with an emphasis on execution, architecture, verification, and measurable behavior.

What should an AI reason about, and what should reliable software do deterministically?

I learn by shipping, breaking things, measuring them, and then hardening the parts that are worth keeping.

2026 contribution milestone: 500+ GitHub contributions, alongside ongoing upstream and fork-side engineering work.

flowchart LR
    A[Intent / Problem] --> B[AI Reasoning]
    B --> C[Deterministic Systems]
    C --> D[Execution]
    D --> E[Verification]
    E --> F[Evidence / State]
    F --> B
    UEA[UEA\nEngineering Augmentation] --> C
    KIO[KIO\nExecution Kernel] --> D
    AURA[AURA\nMemory & Cognition] --> B
    KIO <--> AURA
    UEA --> KIO

This is the design boundary running through the portfolio: reasoning handles ambiguity; deterministic infrastructure owns execution, state, safety, and verification.

A reusable, deterministic GitHub operations layer running on GitHub Actions. gh-ops combines repository, CI, release, and security monitoring with OSS opportunity intelligence, developer activity reporting, persistent state, scheduled workflows, and outbound Telegram notifications.

The system is deliberately read-only against GitHub: collection and analysis are automated, while execution boundaries, state, and verification remain deterministic.

Python GitHub Actions GitHub API Telegram State & Events OSS Intelligence

Current: Phases 1–8 and the post-Phase-8 hardening line are implemented. The current system combines repository/CI/release monitoring, OSS intelligence, security intelligence, developer activity, persistent event/repository lifecycles, unified reporting, and scheduled Telegram operations. The latest baseline is 1,260 tests passing, including 35 Telegram transport-boundary contract tests. Telegram behavior is verified for severity, priority, topic routing, no-op silence, at-least-once delivery, recovery, and MarkdownV2 payload safety.

Agent-neutral engineering infrastructure for coding agents. UEA moves repeatable engineering work from probabilistic reasoning into deterministic code intelligence, dependency/impact analysis, verification, property/mutation testing, formal reasoning, candidate isolation, routing, provenance, event logging, analytics, and reusable capabilities.

The core stays agent-neutral while integrations can sit beside OpenCode, Claude Code, Codex, or other coding agents.

Python Tree-sitter Z3 Hypothesis SQLite DuckDB MCP

Autonomous Unified Reasoning Architecture — a FastAPI-based memory and cognition backend implementing persistent memory storage/retrieval, cognitive artifacts, and reflection-oriented processing for long-lived agent state.

Python FastAPI Memory Cognitive Artifacts Agents

Kernel for Intelligent Orchestration — a modular execution kernel that resolves capabilities, plans actions, applies security gates, dispatches providers, executes tools, and verifies resulting state.

KIO turns intent into real actions through:

Observe → Reason → Plan → Execute → Verify → Adapt

It owns capability resolution, provider dispatch, security gates, browser/MCP execution, artifacts, runtime state, recovery, and verification of real side effects.

The repository currently contains 63 validated automation templates integrated through the canonical KIO execution path.

Python Automation Browser Automation MCP Provider Systems Verification

Architecture principle: AI handles ambiguity and strategy; deterministic software owns execution, safety, state, and verification.

These projects are no longer active product-development tracks. They have been hardened into inspectable, reproducible portfolio artifacts.

Execution-first programming-learning prototype focused on visible execution state, code visualization, exercises, and bounded AI assistance.

Live: codeflow-app-sigma.vercel.app

JavaScript Vite Execution Visualization PWA

Final hardening: Node 22, Vite 8, production-build CI, tagged release validation, Dependabot, CodeQL, deployment security headers, explicit prototype boundary, and MIT licensing.

AI-assisted medication-reminder and health-workflow prototype exploring role-specific UX, deterministic reminders, accessibility, synthetic data, and bounded AI assistance.

Live: medimind-seven.vercel.app

React 18 Vite 6 Gemini Accessibility Safety Boundaries

Final hardening: Node 22 CI baseline, Playwright browser smoke coverage, Chromium validation, CodeQL, Dependabot, deployment security headers, environment/credential hygiene, explicit medical safety boundary, and MIT licensing.

The application intentionally remains on its React 18/Vite 6 prototype stack rather than taking an unvalidated framework migration.

The complete open-source engineering archive now lives in OSS Atlas — contribution records, upstream work, research, case studies, experiments, learnings, and the spatial/3D engineering track.

I use open source as an external engineering track: working across unfamiliar codebases, contributing real changes, and learning how software is built and maintained outside my own projects.

I distinguish merged work from open proposals so the repository status is explicit.

• PyRIT #2762 — Dataset Summary API
  Merged upstream on September 24, 2026 after maintainer review and multiple refinement rounds. Added memory-backed dataset summaries with aggregation, selection-key isolation, unnamed/whitespace dataset handling, metadata query controls, loaded_only behavior, and regression coverage. Final merge commit: 47c6151a.

• NousResearch Hermes Agent #121771 — Desktop gateway stale-ref recovery
  Open upstream. Adds a fallback to the active gateway registry when the desktop request hook's gateway ref is stale, preserving existing recovery/routing behavior and adding a focused regression test for the dropped-WebSocket path.

• aios #2458 — Record streaming length as truncated output
  Merged upstream on September 24, 2026 after the maintainer resolved the pinned Ruff formatting blocker. The final implementation records provider finish_reason="length" as output_truncated=true at the loop layer and includes streaming regression coverage. Merge commit: fe051b2c.

• aios #2457 — Preserve length finish reason across streaming trailers
  Merged upstream fix preserving provider-reported finish_reason="length" when trailing streaming chunks clobber the assembled finish reason, with regression coverage and content_filter precedence handling.

• aios #2460 — Preserve LiteLLM parameter translation
  Merged upstream fix that preserves LiteLLM provider-specific parameter translation while retaining explicit allowed_openai_params overrides, with regression coverage for mapped, unmapped, and explicitly forced parameters.

• aios #2459 — Preserve timeout bound in child outcome
  Merged upstream after maintainer review. Preserves whether workflow-child timeout resolution came from the deadline or spend bound while keeping kind="timeout" unchanged for compatibility, with regression coverage for both trigger paths.

• GitHub Profile Analyzer #30 — Evidence-weighted impact scoring
  Merged upstream after maintainer approval. Refined impact scoring with repository-quality evidence and improved viewport-aware factor tooltips, with regression coverage.

I’m actively contributing to Microsoft PyRIT, an open-source framework for AI red teaming. My recent upstream work includes a merged dataset-summary contribution and an open upstream HarmBench context-preservation fix (#2823).

• #2762 — Dataset Summary API — merged upstream on September 24, 2026 after maintainer review. Added memory-backed dataset summaries and iterated through feedback covering aggregation, SQLite collation behavior, unnamed/whitespace dataset identity, selection-key isolation, metadata query size, and loaded_only behavior. Roman Lutz verified the substantive concerns against real stored seeds, and the final test-cleanup commit was merged with the implementation. Merge commit: 47c6151a.
• #2823 — Preserve HarmBench contextual behavior prompts — open upstream. Fixes the HarmBench loader dropping non-empty ContextString values by combining context and behavior using the dataset convention, while retaining context in metadata and adding regression coverage.
• #2782 — Canonical technique names in scenario run summaries — follow-up fix prepared on my fork. Corrects techniques_used to use the persisted canonical technique_name rather than a potentially goal/objective-bearing display_group, with regression coverage. The fork PR is open while an upstream submission path is being finalized.

Why it matters: this work involves navigating a large unfamiliar codebase, understanding existing data models and service boundaries, responding to maintainer review, and adding targeted regression coverage rather than making isolated demo changes.

Status is intentionally explicit: #2762 is merged upstream; #2823 is open upstream for maintainer review; #2782 remains fork-side work until an upstream PR exists.

Microsoft RAMPART is a pytest-native safety and security testing framework for agentic AI applications, built around repeatable adversarial testing and evaluation-driven assertions. It extends the same AI-security direction as the PyRIT work above into agent-focused regression testing and CI.

Next AI-security target: RAMPART is tracked here as a target project, not as a claimed contribution or merged PR.

Python Pytest AI Security Red Teaming Agentic AI

• TopoCore — cycle detection for spatial execution — added deterministic cycle detection to the experimental 2D spatial execution visualizer by tracking (X, Y, Direction) states, stopping repeated execution loops, and resetting execution-trace state on reset/clear. This explores an unconventional execution model where program flow is defined by movement through symbolic space.

• Microsoft PyRIT #2762 — merged upstream after maintainer review; dataset summary API with memory-backed aggregation and regression coverage.
• NVIDIA garak #1 — fork-side fix for IterativeProbe when soft_probe_prompt_cap=None, preserving uncapped behavior and adding regression coverage.
• UK AI Security Institute Inspect AI #1 — fork-side fix for Google inline-image conversion for raw binary Blob.data by base64-encoding bytes before building the data URI.

Status is tracked explicitly: merged upstream work is separated from open fork-side proposals.

• Microsoft PyRIT #2762 — merged upstream after multiple maintainer review rounds. The dataset summary API is now part of upstream PyRIT; final merge commit: 47c6151a.
• Microsoft PyRIT #2823 — open upstream. Preserves non-empty HarmBench ContextString values while retaining context metadata, with focused regression coverage.
• aios #2458 — merged upstream on September 24, 2026. The streaming truncation telemetry fix landed in master after the pinned Ruff formatting issue was resolved. Merge commit: fe051b2c.
• RisingWave #27181 — open upstream. Correlated-reference coverage now crosses the real LogicalApply → ApplyEliminateRule → to_batch() path, including a multi-row LogicalValues case; the review-found test compile issue was fixed with ctx.clone().
• KiroCrew #12861 — open upstream. PDF extraction was hardened around Windows process limits and Python import isolation, with child-extractor protocol coverage.
• TopoCore #1 — open upstream. Added deterministic repeated-state cycle detection to the spatial execution simulator.
• LlamaIndex #23201 — open upstream. Preserves retrieved scores during previous/next expansion.
• OpenHands #17579 — open upstream. Aligns condenser max-size metadata with the agent-server minimum.
• OpenTelemetry Erlang #822 — open upstream. Isolates spans across retries and redirects.
• Coder #29668 — open upstream. Deduplicates unknown AI Gateway clients.
• Cloudflare quiche #2758 / #2759 — open upstream fixes covering custom-CA peer verification and Reno ACK accounting.
• IntelliJ PowerShell #506 — open upstream fix for resolving pwsh.exe through WindowsApps reparse points.
• N3MO #39 — open upstream regression coverage for Ruby and Kotlin language routing.

Status is deliberately separated into merged, open-upstream, and fork-side work. No open proposal is presented as accepted upstream.

I also contribute through GitHub Discussions — answering concrete engineering questions in unfamiliar codebases and sharing implementation-level reasoning with maintainers and other developers.

• 🧩 Lexical #8771 — Named Slots for paginated editors
  Discussed separating page-region modeling from pagination/flow logic, using Named Slots for independently editable header/footer regions while keeping content pagination as a higher-level layout concern.

• 🐳 MCP Registry #921 — Using the published Docker image
  Explained the GHCR image workflow, the distinction between the pre-built Registry image and the full local development environment, and the PostgreSQL dependency for persistent deployments.

• ⚡ VS Code Discussions #3109 — Diagnosing Electron main-process hangs
  Proposed a practical incident-diagnostics workflow around external watchdogs, event-loop health, Node diagnostic reports, process dumps, CPU profiling, IPC telemetry, and separating JavaScript starvation from synchronous/native/OS blocking.

• 🧩 MVT Discussions — STIX indicator parsing
  Discussed the parsing boundary around STIX indicators, including values containing =, malformed patterns, validation, and preserving existing detection semantics.

Discussion answers are kept focused on reproducible engineering practices, implementation details, and primary documentation rather than activity for its own sake.

• Deterministic software owns execution; AI handles ambiguity.
• Verification is part of implementation, not a final step.
• Measure behavior before claiming improvement.

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Tools & Infrastructure

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Systems & Frameworks

Engineering & Infrastructure

AI / Developer Workflow

These badges describe the technologies currently represented in my public projects and engineering workflow — they are not certification badges.

Activity cards are generated by GitHub Actions and committed to this profile repository, avoiding fragile third-party statistics endpoints.

Project status note — September 24, 2026: KIO has completed Gate 5 and is currently in a maintenance/security-documentation state; recent commits are cleanup and hardening rather than a restart of feature development. AURA remains at its June 2026 architecture checkpoint with no active feature-development line.

Building in public • Shipping real systems • Learning by doing