Bridging first-principles physical thinking with deterministic software automation, serverless micro-sandboxes, open lakehouse engines, and autonomous multi-agent orchestration.
I hold a Ph.D. in Physics and serve as a globally recognized Google Developer Expert (GDE) for Google Workspace (awarded 1st Place in the Outstanding GDE Award, September 2025).
My methodology is rooted in First Principlesβdissolving systemic boundaries by identifying underlying invariants. Emerging concepts often materialize during sleep, which I subsequently engineer into reproducible, production-grade architectures. Inventions stemming from this exploratory paradigm have been actively deployed across electronics, industrial machinery, structural architecture, and aerospace engineering.
In software systems, my work dismantles the traditional runtime, quota, and storage constraints of the Google ecosystem:
- Compute Bound Elimination: Offloading untrusted script execution from Google Apps Script into sub-second gVisor micro-sandboxes.
- Enterprise Storage Elasticity: Converting standard Google Sheets grids into petabyte-scale Apache Iceberg ACID lakehouse consoles via BigQuery serverless pushdown.
- Autonomous Intelligence: Pioneering the Recursive Knowledge Crystallization (SKILL.md) framework and the Agent-as-a-Tool paradigm for stateful, zero-trust AI agent scaffolding.
flowchart TB
subgraph Hub["<b>Central Workspace Orchestration</b>"]
direction TB
GAS["<b>Google Apps Script (GAS)</b><br/>Enterprise Workflows & Data Pipelines"]
end
subgraph Compute["β‘ Sub-Second Isolated Execution"]
CR["<b>cloud-run-sandbox-gas</b><br/>Cloud Run Sandboxes (gVisor)<br/>Sub-Second Python / Bash Execution"]
end
subgraph Storage["π§ Petabyte Lakehouse & ACID Storage"]
ICE["<b>IcebergApp</b><br/>Apache Iceberg on GCS + BigQuery<br/>Differential ACID Mutations & Multimodal Vector Search"]
end
subgraph Intelligence["π€ Autonomous AI Agent Scaffolding"]
ADK["<b>adk-gas (GASADK)</b><br/>Planner-Executor-Synthesizer (PES)<br/>Recursive Knowledge Crystallization (SKILL.md)"]
end
subgraph Terminal["π» Terminal & Local CLI Gateway"]
GGS["<b>ggsrun (v5 FD Mode)</b><br/>High-Performance Go CLI / TUI Dual-Pane Filer<br/>Unified MCP Gateway"]
end
GAS -->|"Sub-second REST Dispatch (200-450ms)"| CR
GAS -->|"Predicate Pushdown & Writeback"| ICE
GAS <-->|"Autonomous Tool Execution & Delegation"| ADK
GAS <-->|"CLI Execution & MCP Tool Calling"| GGS
classDef core fill:#1a73e8,stroke:#1558b0,stroke-width:2px,color:#ffffff;
classDef comp fill:#202124,stroke:#4285F4,stroke-width:1.5px,color:#ffffff;
class GAS core;
class CR,ICE,ADK,GGS comp;
Deterministic Sub-Second Code Execution for Google Apps Script via gVisor Micro-Sandboxes
- Bypasses the GAS 6-minute wall-clock timeout and V8 runtime limitations by coupling Google Apps Script with Cloud Run Sandboxes (
--sandbox-launcher). - Dispatches dynamic Python and Bash payloads over lightweight REST endpoints with deterministic 200β450 ms execution latency.
- Enforces Zero-Trust micro-virtualization, scale-to-zero operational efficiency (within the Always Free tier), and zero disk I/O headless in-memory plotting (
Agg/BytesIO).
π§ IcebergApp
Unifying Google Workspace and Apache Iceberg: Serverless Lakehouse Management
- Transcends the rigid 10-million cell limit of Google Sheets, transforming ordinary spreadsheets into interactive, microsecond-tolerant ACID consoles for petabyte-scale Apache Iceberg tables on Google Cloud Storage.
- Employs BigQuery as a serverless query accelerator for predicate pushdown over Parquet metadata, achieving sub-second analytics and time travel without reverse ETL SaaS.
- Features Bidirectional Writeback for differential row-level ACID mutations and Serverless Multimodal Vector Search across Google Drive binary assets and embeddings.
Autonomous Multi-Agent Orchestration & Planner-Executor-Synthesizer Framework
- Embeds state-of-the-art AI Agent capabilities directly into Google Apps Script environments.
- Implements the Planner-Executor-Synthesizer (PES) model to resolve execution time barriers, supporting autonomous tool use, recursive function calling, and hierarchical subagent delegation (
invoke_agent).
β‘ ggsrun
High-Performance Google Apps Script Execution Engine & Drive TUI Filer
- Written in Go. Executes GAS functions instantly from local command lines, terminal workflows, and GitHub Actions CI/CD pipelines.
- Features an interactive dual-pane TUI filer (FD Mode) for synchronized local/Drive management, coupled with a native Model Context Protocol (MCP) server for LLM agent integration.
| Repository | Focus Area | Description |
|---|---|---|
| taking-advantage-of-google-apps-script | Architectural Handbook | Definitive guide on batching, resumable uploads, and advanced optimization in GAS. |
| taking-advantage-of-Web-Apps-with-google-apps-script | Web App Frameworks | Comprehensive patterns for building high-concurrency microservices, webhooks, and APIs on GAS. |
| gas-fakes | Emulation & CI/CD | Node.js mocking framework enabling offline testing, WIF authentication, and GitHub Actions CI/CD for GAS. |
| goodls | Cloud CLI Utility | High-concurrency Go CLI engineered for structured, recursive downloads and batch operations on Google Drive. |
| Google-Apps-Script-Library-Database | Community Registry | Curated directory indexing public Google Apps Script libraries to foster discovery and logic reusability. |
- Planetary Acoustic-Gravity Sensing: Capturing Volcanic Lamb Waves and Blast Yields with Netatmo Weather Networks (ESS Open Archive, 2026). Integrating continuous 20-minute GAS Drive IoT ingest with Antigravity CLI and first-principles continuum mechanics to reconstruct shockwave velocities with 98.5% precision.
- Autonomous AI Evolution: Recursive Knowledge Crystallization: A Framework for Persistent Autonomous Agent Self-Evolution (2026). Markdown-driven knowledge transfer (
SKILL.md) enabling cross-session zero-shot learning across Antigravity and Gemini CLI. - Agent Orchestration: Agent-as-a-Tool: A New Era of AI Orchestration (2026). Mitigating Tool Space Interference (TSI) via dynamic semantic discovery and zero-trust execution boundaries.
- Ecosystem Analytics: StackOverflow Trends Annual Reports. Longitudinal statistical modeling tracking the architectural transition from manual community assistance to Generative AI ecosystems in developer workflows.
Languages : Google Apps Script (V8), Go, TypeScript, JavaScript, Python, Bash
Cloud & Infra : Google Cloud Platform (Cloud Run, BigQuery, Cloud Storage), gVisor, Docker, Linux/WSL2
Data Engines : Apache Iceberg, Parquet, Vector Embeddings, BigQuery Serverless Pushdown
AI Architecture: Gemini API / Ultra, Antigravity CLI, Gemini CLI, ADK, MCP, A2A Protocol, Agent Skills
CI/CD & DevOps : GitHub Actions, Workload Identity Federation (WIF), gas-fakes, Hugo



