Skip to content
View Kelpejol's full-sized avatar

Block or report Kelpejol

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Kelpejol/README.md

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

Metrics
GitHub Activity Graph


πŸ“« Contact

Pinned Loading

  1. prompt-compression-gateway prompt-compression-gateway Public

    API gateway for LLM prompt compression with policy enforcement built on LLMLingua. Demonstrates cost control, prompt safety, and LLM execution boundaries.

    Python 2

  2. llm-output-stability-gate llm-output-stability-gate Public

    Pre-execution reliability gate using UQLM for LLM output stability

    Python 4 1

  3. eth-event-indexer eth-event-indexer Public

    Minimal Ethereum event indexer demonstrating on-chain β†’ off-chain data pipelines.

    JavaScript

  4. onchain-action-guard onchain-action-guard Public

    Minimal on-chain guard for policy enforcement in multisigs and DAOs

    Solidity 1

  5. agent-control-plane-notes agent-control-plane-notes Public

    A decoupled control plane for operating, governing, and observing AI agent executions across tools, frameworks, and environments.

    3