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Arakiss/README.md

Petru Arakiss

AI Architect | Software & Cloud Engineer

I design and build AI systems that go beyond automationβ€”systems that analyze, reason, and adapt. With 18+ years of experience in software engineering, cloud infrastructure, and AI, I focus on developing intelligent architectures that integrate large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent systems for enterprise applications.

πŸ”­ Current Work

Right now, I’m working on:

  • AI system architecture – Designing modular, scalable AI infrastructures
  • Multi-agent systems – Building autonomous agents that collaborate for data analysis and security
  • Retrieval-augmented generation (RAG) – Improving how AI retrieves and processes information
  • Event-driven architectures – Creating scalable pipelines for AI-powered data workflows

πŸ›  Tech & Tools

AI & Machine Learning

  • Autonomous Agents – Multi-agent architectures, cognitive AI models
  • RAG & LLMs – Hybrid retrieval, semantic search, knowledge augmentation
  • MLOps – Model deployment, monitoring, and optimization

Cloud & Infrastructure

  • Cloud Platforms – AWS, Azure, cloud-native architectures
  • Data & Event Processing – Kafka, RabbitMQ, real-time data pipelines
  • DevOps & Automation – Terraform, CI/CD, infrastructure-as-code

Full-Stack Engineering

  • Frontend – React, Vue.js, component-driven architectures
  • Backend – Node.js, FastAPI, high-performance APIs
  • Data & APIs – REST, GraphQL, gRPC, structured data flow

🌟 Projects & Experience

I’ve designed AI-driven platforms for security, automation, and enterprise intelligence, including:

  • Enterprise AI Agents – Multi-agent systems for automated data analysis and cybersecurity
  • Intelligent Knowledge Retrieval – RAG-powered systems that improve AI-driven search and decision-making
  • Cognitive AI Frameworks – Architectures that enable AI agents to work together efficiently
  • Real-Time Data Processing – Scalable AI pipelines for analyzing large datasets on the fly

πŸ“« Let’s Connect

I enjoy discussing AI system design, scalable architectures, and how to make AI work in real-world enterprise environments.

LinkedIn | Email: [email protected]

AI should be more than just automationβ€”it should think, adapt, and solve real problems.

Pinned Loading

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    GitMuse is an AI-powered tool that helps developers craft meaningful and descriptive Git commit messages. By analyzing your staged changes, GitMuse provides intelligent suggestions for your commit …

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    TypeScript 2

  3. commitloom Public

    CommitLoom is an intelligent git assistant I created to help developers craft meaningful, structured commits. Like a master weaver's loom, it brings together all the threads of your changes into be…

    Python 3

  4. autoscribe Public

    AutoScribe is a modern, AI-powered changelog generation tool designed to transform your git history into beautiful, meaningful documentation.

    Python

1,551 contributions in the last year

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Contribution activity

February 2025

Created 9 commits in 2 repositories
180 contributions in private repositories Feb 2 – Feb 21
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