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Muhammad Ikhwan Fathulloh

Software Engineer Β· Educator Β· Open Source Contributor

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Senku Ishigami

"I am 10 billion percent sure we're going to build something epic."


πŸ‘¨β€πŸ’» About Me

I build systems at the intersection of software engineering, AI, IoT, and data - turning complex problems into practical, working solutions. My work spans backend architecture, distributed applications, AI agents, NLP, RAG, and hardware-connected systems.

Background Software & Hardware Engineering
Current Role Software Architect at UTB, IT Instructor
Founder Nocturnailed
Focus Areas LLMs, RAG, AI Agents, NLP, High-Performance Systems
Location Indonesia
Open To Open Source, AI, Backend Engineering, IoT, Research

Think scientifically. Build practically. Share openly.


πŸ› οΈ Technical Arsenal

Backend

Frontend

AI & Data

IoT & Hardware

Database

DevOps & Cloud

Tools


πŸ“Š GitHub Activity

GitHub Streak

GitHub Activity Graph


🌱 Open Source

Open source is central to how I learn, build, and collaborate. Software gets stronger when developers can read each other's code, report and discuss problems, review implementations, and build on top of existing work.

Contributions include: bug fixes, new features, documentation, issue reports, pull requests, discussions, testing and experimentation.

Don't just use open source - understand it, contribute to it, help build it.


🀝 Collaboration & Community

GitHub is not only about pushing code. I take part in the wider developer ecosystem through issues, pull requests, code reviews, discussions, documentation, technical talks, and teaching.

Interested in collaborating on: Artificial Intelligence, AI Agents, Large Language Models, RAG, NLP, Backend Engineering, Developer Tools, IoT, Open Source.


🧠 Beyond the Code

Scientific mindset - I experiment, measure, compare, and optimize, and try to understand why a system behaves the way it does, not just that it works.

Problem solving - when documentation runs dry, I debug from first principles.

Mentorship - I enjoy breaking down complex technical concepts into explanations students and developers can actually use.


πŸ“š Currently Learning

LLM inference and serving, agentic AI, retrieval-augmented generation, Indonesian NLP, high-performance backend systems, Rust, the Python AI ecosystem, vector databases and search, cloud and DevOps.


πŸ“¬ Contact


Science is elegant, but coffee is a requirement.

Build Β· Learn Β· Contribute Β· Repeat

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  1. odysseus-dev/odysseus odysseus-dev/odysseus Public

    Self-hosted AI workspace.

    Python 87.3k 897

  2. rllm-org/rllm rllm-org/rllm Public

    Democratizing Reinforcement Learning for LLMs

    Python 5.8k 617

  3. Sunda-Language Sunda-Language Public

    Sunda Programming for Having Fun 😊

    HTML 25 2

  4. Saka-NLP Saka-NLP Public

    Saka Library Natural Language Processing for Text Processing Nusantara

    Python 15

  5. Nocturnailed-Community/NocKinematics Nocturnailed-Community/NocKinematics Public

    A modular and lightweight library for Forward And Backward Iterative Kinematics (FABRIK) on Arduino and ESP32.

    C++ 13 1

  6. Raksa Raksa Public

    Raksa is a lightweight MicroPython library designed for Noc Lab to bridge Edge Intelligence with scalable cloud backends. It ensures reliable data integrity and real-time synchronization between me…

    Python 6