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jezreal-dev/README.md

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⚡ Executive Summary

I am an AI-Native Go Backend Engineer and Systems Architect specializing in building scalable systems, high-concurrency REST APIs, and multi-agent architectures.

I focus on building production-ready backend infrastructure and AI systems. From a concurrent Go CLI over WebSockets to a serverless IoT pipeline or an autonomous incident triage system, I ship code that solves real-world problems.


🚀 Featured Systems & Engagements

1. Autonomous SRE Incident Triage System (Google Capstone)

  • Core Technology: Go, Google Agent Development Kit (ADK), Model Context Protocol (MCP), LLMs
  • Architecture: Designed and shipped a multi-agent system that automates production incident diagnostics. The system triages issues autonomously using ADK and MCP to connect AI logic with live telemetry data.
  • Status: Capstone Project

2. ropa-sci - Cyber-Neon Multiplayer Go CLI Game

  • Core Technology: Go, WebSockets, Bubble Tea, Lipgloss, Mutexes, JSON State Store
  • Architecture: Engineered a concurrent CLI Rock-Paper-Scissors gaming engine featuring an interactive TUI. Implemented real-time P2P multiplayer over WebSockets, thread-safe JSON persistence with RWMutex locks, and a predictive Markov Chain AI engine.
  • Status: Live - Repository

3. EduPilot - Intelligent School & Teacher Curriculum Copilot

  • Core Technology: TypeScript, Next.js, TailwindCSS, Gemini API
  • Architecture: Led a team to win 1st place at IIHDevBox. Developed a modern web platform that parses complex school curriculum documentation, generates structured lessons, and auto-schedules timetables to solve real infrastructure pain points.
  • Status: Live - Repository

4. ASCII Art Web Generator & Go REST API

  • Core Technology: Go, Docker, GitHub Actions, CI/CD, Render
  • Architecture: Built and deployed a highly performant web server and REST API from scratch using Go that generates ASCII art. Engineered the entire DevOps pipeline, including containerization, automated testing, and CI/CD deployment.
  • Status: Live

5. VoltIQ - Real-Time AI-Powered EV Fleet Charging Engine

  • Core Technology: Go, AWS Serverless (Lambda, API Gateway), Amazon Bedrock, DynamoDB, MQTT
  • Architecture: Engineered an IoT telematics pipeline ingesting high-frequency battery telemetry from fleet EVs via MQTT. Integrated LLM workflows to dynamically optimize charging schedules.
  • Status: Open Source - Repository

🛠 Technical Capabilities Matrix

Domain Expert Capabilities & Technologies
Backend & CLI Go (Golang) [Concurrency, Channels, Network I/O, Bubble Tea], Python, Bash
System Architecture RESTful APIs, WebSockets, Microservices, Event-Driven Architecture (EDA)
AI & Orchestration Agentic Workflows, Google GenAI SDK, Model Context Protocol (MCP), Amazon Bedrock
Cloud & DevOps Docker, CI/CD (GitHub Actions), AWS (IoT Core, Lambda), PostgreSQL

📊 GitHub Developer Analytics

Jezreal Momoh GitHub Stats Jezreal Momoh Top Languages

Jezreal Momoh GitHub Streak


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  1. ascii-art-web-generator ascii-art-web-generator Public

    A Go web server and REST API for generating monospaced ASCII banner art. Features a glassmorphic dashboard, client-side canvas wallpaper exports, custom font uploads, and session rate limiting.

    HTML 1

  2. VoltIQ VoltIQ Public

    VoltIQ is a real-time AI-powered charging optimization engine for commercial EV fleets in Lagos, Nigeria, built on AWS Serverless (Go) and Amazon Bedrock.

    Go 1

  3. prompt-engineering-piscine prompt-engineering-piscine Public

    Python

  4. ropa-sci ropa-sci Public

    A modern, multiplayer Rock-Paper-Scissors CLI gaming platform built in Go. Features a custom cyber-neon TUI, predictive game-theory AI, local P2P WebSockets, and a thread-safe JSON state store.

    Go 1

  5. edupilot edupilot Public

    EduPilot: The intelligent copilot for modern teachers. AI-powered curriculum analysis, lesson planning, and timetable generation built on Next.js 16.

    TypeScript