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πŸ‘‹ Hi, I’m Kelpejol

Software Engineer β€” Distributed Systems | AI Infrastructure | Blockchain Infrastructure

I design and build infrastructure systems with a focus on control, reliability, observability, and operational correctness.
My work centers on making complex, stateful systems β€” especially AI-driven ones β€” operable in real-world environments.


🧠 Engineering Focus

I care deeply about:

  • Control planes and orchestration for complex, stateful systems
  • Durable state, replayability, and auditability
  • Operational safety: retries, fallbacks, policies, and human-in-the-loop interventions
  • Clear system boundaries and explicit tradeoffs

πŸ› οΈ Technical Stack

Languages

  • Python
  • TypeScript / JavaScript
  • Solidity
  • Go (working proficiency)
  • Rust (familiarity, exploring for systems)

Frameworks & Tooling

  • Node.js, FastAPI, Express.js
  • Ui: React, Nextjs
  • Docker, Kubernetes, Terraform
  • CI/CD: GitHub Actions, GitLab CI
  • Structured logging, tracing, monitoring (Prometheus, Grafana, Sentry)
  • Workflow orchestration: Prefect, Airflow
  • Blockchain: Hardhat, Foundry

Domains & Expertise

  • AI / LLM tooling and runtime orchestration
  • Distributed execution & workflow systems
  • On-chain β†’ off-chain pipelines, Ethereum smart contracts

Tech stack includes some tools I am learning or experimenting with β€” demonstrating readiness for scalable, modern systems.

πŸ“Œ Current Work

Project Description Focus
prompt-compression-gateway Prompt transformation with policy enforcement Safety & cost control
llm-output-stability-gate LLM output validation & drift detection Reliability
eth-event-indexer Ethereum event indexing pipeline Data correctness
onchain-action-guard Policy-enforced smart contract example Constraints & safety
agent-control-plane-notes Design notes on orchestration systems System design

These projects are experimental β€” designed to explore system concerns rather than serve as full products.


πŸ“ How I Think About Systems

  • Prefer explicit state over implicit behavior
  • Design for debuggability before scale
  • Treat failures, retries, and human actions as first-class citizens
  • Avoid hidden magic β€” systems should be explainable under pressure

Clarity always comes before cleverness.


πŸ“Š GitHub Snapshot

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πŸ“« Contact

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