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coderleeon/README.md

Leeon John

AI Engineer | Agent Systems | MCP | LLM Evaluation

XLinkedInPortfolio


About Me

I build production-oriented AI systems focused on reliability, evaluation, agent orchestration, and developer tooling.

My interests include:

  • Agentic AI Systems
  • Model Context Protocol (MCP)
  • LLM Evaluation & Observability
  • Retrieval-Augmented Generation (RAG)
  • AI Infrastructure & Deployment
  • Developer Productivity Tools

Featured Projects

OpenSourcePilot

AI-powered open-source contribution assistant that analyzes GitHub repositories, understands issues, performs semantic code search, generates implementation plans, drafts pull requests, and creates test suites.

Stack: FastAPI, Next.js, ChromaDB, OpenRouter, Sentence Transformers, Railway, Vercel, GitHub API

Live Demo: https://open-source-pilot.vercel.app/


ResearchPilot MCP

MCP-powered research assistant that combines retrieval, planning, tool execution, and report generation through standardized agent workflows.

Focus Areas:

  • Model Context Protocol (MCP)
  • Multi-agent orchestration
  • Research automation
  • Tool integrations
  • Context-aware workflows

BenchLytics

LLM evaluation and observability platform for benchmarking models across reasoning quality, correctness, latency, cost, and reliability.

Features:

  • Automated evaluation pipelines
  • Hallucination detection
  • Structured experiment tracking
  • Performance monitoring

Evalynx

Evaluation framework for comparing, scoring, and improving LLM outputs through automated judging and feedback-driven refinement.

Focus Areas:

  • LLM benchmarking
  • Response scoring
  • Output comparison
  • Reliability assessment

OrionAI

Agent workflow framework supporting planning, retrieval, tool usage, execution, and self-correction.

Focus Areas:

  • Agent orchestration
  • Multi-step reasoning
  • Tool calling
  • Autonomous workflows

Engineering Focus

  • Building reliable AI systems instead of one-off demos
  • Designing evaluation pipelines for model benchmarking
  • Developing agent workflows and orchestration frameworks
  • Creating scalable retrieval and semantic search systems
  • Improving AI reliability, observability, and cost efficiency

Tech Stack

Languages

Python • SQL • JavaScript • TypeScript

AI & Machine Learning

PyTorch • Transformers • OpenAI APIs • Anthropic APIs • RAG • Embeddings • MCP

Backend & Infrastructure

FastAPI • Docker • Railway • Vercel • GitHub Actions • CI/CD

Data & Storage

PostgreSQL • ChromaDB • Vector Databases


Current Focus

  • Agentic AI Applications
  • MCP Ecosystem Development
  • LLM Evaluation Systems
  • AI Reliability Engineering
  • Open-Source AI Tooling

GitHub Stats


Contributions

GitHub contribution grid snake animation


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  1. OpenSource-Pilot OpenSource-Pilot Public

    AI-powered open-source contribution assistant that analyzes GitHub repositories, semantically indexes codebases, classifies issues, and generates repository-aware contribution plans.

    Python 1

  2. BenchLytics BenchLytics Public

    A benchmarking platform for evaluating LLMs across tasks with scoring, latency tracking, and side-by-side comparison.

    Python 1

  3. researchpilot-mcp researchpilot-mcp Public

    MCP-powered multi-agent research assistant with RAG, LangGraph, FastAPI, and citation-aware report generation.

    Python

  4. OrionAI OrionAI Public

    OrionAI is a production-grade multi-agent inference engine that orchestrates planning, retrieval, execution, and self-correction workflows using LLMs, enabling reliable and scalable AI system behav…

    Python 1

  5. Evalynx Evalynx Public

    Evalynx is a production-grade LLM evaluation and self-improvement engine that scores, compares, and iteratively refines model outputs using LLM-as-judge, enabling reliable and high-quality AI syste…

    Python 1

  6. EduRAG EduRAG Public

    Built a personalized AI learning companion using RAG that adapts to user performance, generates quizzes, and provides multi-level explanations from study material.

    Python 1