I sit at the bleeding edge between infrastructure engineering and autonomous agents. I don't just build applications; I engineer "organisms"—systems that are self-healing, context-aware, and capable of complex reasoning.

My work focuses on the last mile of AI utility: optimizing inference engines (vLLM), hardening orchestration layers (n8n), and designing data pipelines that allow LLMs to act, not just chat.

"Static systems are fragile. Biological systems are anti-fragile."

I build software that treats infrastructure like biological tissue. My methodology, Infra-as-an-Organism, prioritizes:

• Homeostasis: Systems that self-regulate under load.
• Autonomy: Agents that understand their own constraints.
• Symbiosis: Tightly coupled interactions between Model (Intelligence) and Tool (Action).

My acumen is proven in the codebases powering the AI revolution.

• vLLM (Contributor)
  • Context: The world's fastest high-throughput and memory-efficient LLM serving engine.
  • Contribution: Direct contributions to the core engine, enhancing stability and performance for production-grade inference.

• n8n (Contributor)

  • Context: The leading fair-code workflow automation tool for technical teams.
  • Contribution: Addressed critical logic in agentic workflows (Issue #18574), shipped in release 1.119.0. I ensure the glue between LLMs and APIs is robust.

• Google Gemini CLI (Contributor)

  • Context: Google's official command-line interface for the Gemini models.
  • Contribution: Enhanced developer tooling to streamline interaction with multimodal models.

I build at every layer of the autonomous stack: Inference, Tooling, Execution, and Security.

Contribution: SLA-Tiered Scheduling & Core Stability
I don't just use LLMs; I optimize how they run.

• The Work: Proposed and architected SLA-Tiered Scheduling (RFC #30256) to allow vLLM to intelligently balance latency-critical agents vs. throughput-heavy batch jobs.
• Impact: Moves inference from "First-Come-First-Serve" to "Business-Logic-Aware."

Project: The Universal API Adapter for Agents
A zero-config factory that instantly turns any OpenAPI/Swagger spec into a Model Context Protocol (MCP) server.

• Why it matters: Solves the "cold start" problem for agents. Instead of writing glue code for every API, this tool generates strict, type-safe tool definitions (Zod) automatically.
• Features: Auto-generated Wiki/Docs, GitHub Actions CI pipelines, and multi-service hosting (n8n + Hostinger).

Project: Financial Autonomy for AI
A complete re-engineering of the Coinbase Agent Kit for the Replit ecosystem.

• The Delta: I stripped away the friction to create a model-agnostic UX, allowing agents to hold wallets, stake assets, and execute complex on-chain transactions without human intervention.

Project: High-Assurance Systems Prototype
A terminal banking system proving that "Agentic" doesn't mean "Insecure."

• Tech: Written in Rust for memory safety. Implements AES-256 encryption, JWT+JWE auth, and PCI-compliant architectural patterns.
• Philosophy: If an agent can spend money, its underlying logic must be panic-free and formally verifiable.

Concept: The Manual for Self-Healing Systems
My manifesto on moving from "static architecture" to "biological architecture."

• Core Tenet: Infrastructure should possess homeostasis—automatically regulating resources (like the vLLM scheduler) to maintain health under stress.

I help teams move from "Chatbot" to "Digital Worker." If you need an engineer who understands the entire stack—from the GPU kernel to the user's intent—let's talk.

• Email: thebuddhaverse@icloud.com • LinkedIn: linkedin.com/in/prodbybuddha • Support: GitHub Sponsors