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jezreal-dev/README.md

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Executive Summary

I am a Systems Architect and AI Engineer specializing in building high-concurrency, low-latency backend infrastructures in Go and Python, and orchestrating intelligent, AI-native serverless systems on AWS (IoT Core, Lambda, Bedrock).

Currently, as a Learn2Earn Fellow and Google AI Agents Intensive attendee, I focus on transitioning workflows into intent-driven agentic architectures, evaluating open-source cybersecurity frameworks, and applying predictive analytics to IoT battery health management.

Featured Systems & Engagements

VoltIQ — Real-Time AI-Powered EV Fleet Charging Engine

  • Core Technology: Go, AWS Serverless (Lambda, API Gateway), Amazon Bedrock, DynamoDB, MQTT, TimeStream
  • Architecture & Impact: Engineered an IoT telematics pipeline that ingests high-frequency battery telemetry (voltage, temperature, SoC, SoH) from fleet electric vehicles via MQTT. Integrated LLM-based agentic workflows to optimize charging schedules dynamically, reducing peak-demand grid strain in Lagos, Nigeria by applying predictive battery management.
  • Status: Operational Prototype / Open Source — Repository Link

ropa-sci — Cyber-Neon Multiplayer TUI Gaming Platform

  • Core Technology: Go, WebSockets, Bubble Tea, Lipgloss, P2P Networking, JSON State Store
  • Architecture & Impact: Built a concurrent CLI Rock-Paper-Scissors gaming engine featuring an interactive cyber-neon terminal user interface (TUI). Designed a predictive game-theory AI engine and a thread-safe custom WebSocket server to handle low-latency real-time multiplayer states.
  • Status: Live — Repository Link

EduPilot — Intelligent School & Teacher Curriculum Copilot

  • Core Technology: TypeScript, Next.js 16, TailwindCSS, AWS, Gemini API
  • Architecture & Impact: Developed a modern web-based dashboard and API that parses complex school curriculum documentation, generates structured lessons, and auto-schedules school timetables using generative AI.
  • Status: Live — Repository Link

OWASP Evaluation & Cyber-Defense Lab

  • Core Technology: Linux, Docker, Network Auditing Tools, OWASP benchmarks
  • Architecture & Impact: Evaluated open-source security tools in sandboxed environments to build reproducible security blueprints. Documented practical, budget-conscious network configurations and secure coding recommendations to harden software supply chains.
  • Status: Research Portfolio — Repository Link

Technical Capabilities Matrix

Domain Expert Capabilities & Technologies
Languages & Runtimes Go (Golang) [Primary Focus: Concurrency, Channels, Network I/O], Python, TypeScript, Bash
System Architecture Microservices, Event-Driven Architecture (EDA), P2P Protocols, RESTful APIs, WebSockets
AI & Orchestration Agentic Workflows, Amazon Bedrock, Google Gemini API, Prompt Engineering, LLM Function Calling
Cloud & Infrastructure AWS (IoT Core, DynamoDB, AWS Lambda, TimeStream), Docker, PostgreSQL, Git, GitHub Actions
Cybersecurity OWASP Security Testing, Cryptographic Implementations, Secure Code Analysis, Network Sandboxing

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