A background in
Computer Engineering.

I’m Giovan Christoffel Sihombing, a Computer Engineering graduate from Universitas Indonesia. My work connects data, models, and the applications people interact with.

Research and application development.

That might mean finding the right data, understanding why a training experiment failed, or connecting a model to an application. My individual thesis explored a distributed machine-learning workflow. In team projects, I’ve worked on AI components and application logic.

An academic exchange in Japan and Japanese-language training shaped my interest in working across cultures. I’m considering roles in Japan and Indonesia, including international companies and consulting teams.

Read my work experience

Education.
And learning by doing.

Bachelor of Engineering in Computer Engineering

Universitas Indonesia

  • GPA: 3.67/4.00. Received the AEON 1% Club Scholarship in 2024 and 2025.
  • Elected representative of the Computer Engineering Class of 2022, serving as a liaison between students and faculty.

Apple Developer Academy Learner

Apple Developer Academy @ UC

  • Participate in a ten-month program covering app development, user-centered design, product discovery, prototyping, and collaboration within the Apple ecosystem.
  • Contribute to group discussions and technical implementation, including data collection, AI/ML model development, application logic, and model integration on Apple platforms.

TWINCLE Exchange Program

Chiba University

  • Received JASSO scholarship support for an academic exchange and collaborated with students from Southeast Asia and Taiwan.
  • Prepared and delivered a group presentation on local food waste, discussing regional challenges and community-based approaches with international peers.

Japanese Language Program for Professionals

Fast Offer, in collaboration with FIB UI

  • Completed intensive Japanese language and cultural training for professional environments in Japan.
  • Passed JLPT N3 and progressed to a native-speaker-led course based on performance.

Tools I work with.

Programming

Python, Swift, JavaScript, TypeScript, SQL, C/C++, Kotlin, VHDL

AI / ML

Data preparation, model training and evaluation, computer vision, federated learning, PyTorch, TensorFlow, scikit-learn, Core ML, FedBioMed, RAG, MLX

Apple platforms

SwiftUI, AppKit, Xcode, Vision, PencilKit, ARKit, RealityKit, SwiftData, XCTest

Backend and data

Node.js, Express.js, FastAPI, REST APIs, PostgreSQL, Redis, React Native

Infrastructure and tools

Docker, Linux, Git, GCP, Proxmox, Cloudflare, Figma, WordPress

Languages

See scholarships and qualifications