fadh.
About

A little about me.

I'm Fadhlan Nur Rachman, an AI & Software Engineer and Computer Science student at Bina Nusantara University, based in Jakarta, Indonesia. Most of my work sits where machine learning meets real software — training and evaluating models, then shipping them behind reliable APIs and interfaces.

I care about software that holds up: clear structure, measurable results, and details that quietly work.

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Experience

  1. 2025 — 2026

    Pragmatic AI/ML Staff

    Organization

    GDGOC (Google Developer Group On Campus) BINUS @Bandung

    Led AI/ML knowledge transfer initiatives within the Pragmatic Division — developed technical materials, sourced instructors, and delivered a StudyJam on FER model benchmarking and IEEE paper writing to 50+ participants. Co-organized a 2-day AI/ML workshop for 30+ attendees and facilitated a Hustler mini bootcamp session on business strategy frameworks.

  2. 2025 — 2026

    Research & Development Staff

    Organization

    BNCC (Bina Nusantara Computer Club)

    • Conducted research on modern web architectures and frameworks to standardise development practices across the organization.
    • Built and optimised internal tools to improve code efficiency and collaboration within the technical and internal division.
  3. 2025 — 2025

    Junior Web Developer (Full Stack)

    Internship

    Indonesia AI (PT Teknologi Artifisial Indonesia)

    • Developed and deployed scalable full stack services for an AI-based education platform using Python, ensuring seamless integration between learning modules.
    • Built and delivered full stack dashboard features under Scrum methodology with daily checkpoint meetings and sprint cycles.
    • Collaborated with cross-functional teams to improve overall system performance, replacing manual bootcamp management with a centralised admin dashboard.
  4. 2024 — 2024

    Software & Technician Engineer Intern

    Internship

    Lintasarta (PT Aplikanusa Lintasarta)

    • Identified an operational bottleneck where the field operations team had no direct visibility into client network disruptions, relying on slow manual CRM ticket creation by the sales team.
    • Self-initiated and built the Fault Dashboard, an internal real-time web dashboard that scrapes live ticket data from the CRM, reducing visibility delay from hours to seconds and enabling faster field response.
    • Maintained network infrastructure stability and performed routine technical troubleshooting across client services.

Education

  1. 2024 — 2028

    Bina Nusantara University

    Bachelor of Computer Science · GPA 3.83 / 4.00

  2. 2021 — 2024

    SMK Negeri 1 Cimahi

    Software Engineering (Vocational High School) · Final Score 87 / 100

Tools

AI & Machine Learning

  • Python
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Matplotlib
  • Jupyter
  • Google Colab
  • Anaconda

Web Development

  • HTML
  • CSS
  • JavaScript
  • TypeScript
  • Next.js
  • PHP
  • Laravel
  • Python
  • Django
  • Tailwind CSS
  • Bootstrap
  • MySQL
  • Supabase
  • VS Code
  • Git
  • GitHub
  • Postman
  • Vercel

UI/UX Design

  • Design Thinking
  • Prototyping
  • Wireframing
  • Story Board
  • Figma
  • Canva
  • Photoshop

Mobile Development

  • Flutter
  • Dart
  • Java
  • SQLite
  • Firebase
  • Android Studio