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org-cyber/README.md

Hi there πŸ‘‹

I'm org-cyberFirst, a Fullstack AI Engineer passionate about building scalable AI systems, robust backend infrastructure, and powerful developer tooling.


πŸš€ About Me

I specialize in designing and implementing end-to-end AI solutions with a focus on production-grade infrastructure and developer experience. My mission is to bridge the gap between cutting-edge AI research and practical, deployable systems.

  • πŸ€– Building intelligent systems with RAG/AI integration and modern architectures
  • πŸ—οΈ Designing scalable backend infrastructure and microservices
  • πŸ› οΈ Crafting developer tools that make engineers' lives easier
  • πŸ’‘ Currently focused on AI Engineering and Backend Infrastructure
  • πŸ”„ Passionate about clean code, system design, and open-source contribution

πŸ’» Tech Stack

Core Languages

  • Go/Golang - My go-to language for high-performance backend systems
  • TypeScript - For full-stack development and type-safe applications
  • Python - For AI/ML workflows and rapid prototyping

Specializations

  • RAG (Retrieval-Augmented Generation) - Building intelligent retrieval systems
  • AI Integration - Seamlessly embedding AI into applications
  • Backend Infrastructure - Designing scalable, reliable systems
  • Docker & Containerization - Ensuring consistency across environments
  • Microservices Architecture - Building distributed systems

Tools & Platforms

  • Docker & Kubernetes
  • Cloud Platforms (AWS, GCP)
  • CI/CD Pipelines
  • API Design & Development
  • Database Design & Optimization

🎯 Featured Projects

Asguard

Check repository A robust backend infrastructure and AI integration platform designed for production-grade deployments.

  • Tech Stack: Go, TypeScript, Docker, AI/ML
  • Focus: Scalable backend systems and AI orchestration

Azeru

Check repository Next-generation developer tooling for modern AI-driven applications.

  • Tech Stack: TypeScript, Go, Cloud-native
  • Highlights: Developer experience, automation, efficiency

Vpipe

Check repository High-performance data pipeline and processing framework.

  • Tech Stack: Go, streaming architecture
  • Focus: Real-time data processing and transformation

πŸ“Š GitHub Stats

GitHub Stats

Top Languages


🀝 Let's Connect

Reach out to me on various platforms:


πŸŽ“ What I'm Currently Working On

  • πŸ€– Advanced AI Engineering - Exploring cutting-edge LLM integrations and RAG systems
  • πŸ—οΈ Backend Infrastructure - Building highly scalable, resilient systems
  • πŸ’» Developer Tooling - Creating tools that enhance productivity and developer experience
  • πŸ“š Technical Content - Sharing knowledge about AI engineering and system design

πŸ’‘ My Philosophy

"Great software is built on three pillars: intelligent design, efficient implementation, and exceptional tooling. In the age of AI, the fourth pillar is seamless integration of intelligent systems."


πŸ“ˆ Areas of Expertise

Category Skills
Backend Engineering Go, Microservices, System Design, API Development
AI/ML RAG, LLM Integration, AI Orchestration, Prompt Engineering
DevOps Docker, Kubernetes, CI/CD, Cloud Infrastructure
Full-Stack TypeScript, Backend APIs, Real-time Systems
Tools Developer Tooling, CLI Applications, Framework Design

πŸ”§ Open to Collaborating On

  • Innovative AI/ML projects
  • High-performance backend systems
  • Developer tool creation
  • Open-source contributions
  • Mentoring and knowledge sharing

Last updated: April 6, 2026 ✨

Feel free to explore my repositories and reach out for collaborations!

Pinned Loading

  1. asguard asguard Public

    High Performance Fintech Validation API/SDK with Dynamic Rule implementation using Google CEL and Biometric verification using Opensource C++ dlib models

    Python 1

  2. kektordb kektordb Public

    Forked from sanonone/kektordb

    An in-memory Vector Database & AI Gateway written in Go. Supports HNSW, Hybrid Search (BM25), GraphRAG context, a built-in RAG Pipeline, and can be embedded directly into your apps.

    Go

  3. vpipe vpipe Public

    AI-powered CLI tool that analyzes build errors and provides intelligent debugging suggestions. Supports OpenAI, Anthropic & Groq

    Go

  4. azeru azeru Public

    High Performance Hybrid Model RAG system with Vectorisation via chroma and Fts35 as fallback mechanism Built in Go

    CSS

  5. asguard-face asguard-face Public

    Facial Recognition engine built in GO, using Open-Source C++ models. model accurancy of 98.3%, application is containerised and can be run using docker locally

    Go

  6. opencareer-ops opencareer-ops Public

    Forked from santifer/career-ops

    AI-powered job search system built on Open Code and Ollama. 14 skill modes, Go dashboard, PDF generation, batch processing.

    JavaScript 1