SYS.INIT // CORE_INTRO
LAT: 40.4406° N // LON: 79.9959° W

Christopher Setiabudi

AI Engineer & Full-Stack DeveloperLOC: Pittsburgh, PA

AI Engineer and Full-Stack Software Engineer with a B.S. in Artificial Intelligence from Carnegie Mellon. I specialize in building intelligent, scalable applications that bridge complex machine learning with seamless user experiences.

NETWORK_I/O - OPERATIONAL
STATUS: OPEN/FOR/WORK
01Email>>
christophersetiabudi@gmail.com
02GitHub>>
github.com/Christophers27
03LinkedIn>>
linkedin.com/in/christophersetiabudi/
DB.QUERY // SKILLS

Technical Arsenal

Analyzing authorized subsets
TOTAL_NODES27
SYS_STATUSOPTIMIZED
LANG_VACTIVE
CORE_MLCOMPILED
SEQ: 001-ALPHA // RND_04
PythonTypeScriptC#CStandard MLGoGitPyTorchTensorFlowReactNext.jsElectron.jsGraphQLJestSQLiteMicrosoft AzureDataChainSnowflakeDockerAWSUnityBlenderMachine LearningDeep LearningLarge Language ModelsComputer VisionMultimodal Machine Learning

System Archives

Directory // Selected_Works // Root
> File_Description

Working as Writer and Game Designer for an indie game project. I help develop the central story, design characters, levels and puzzles. I also contribute as an engineer, programming systems in C# (Unity), creating 3D models (Blender), and building the game's websites.

> Required_Dependencies
React
Next.js
TypeScript
Unity
Blender
C#
Initialize Link>>
ENCRYPTION: NONESTATUS: COMPILED
> File_Description

Helped build Crest, an open-source, self-hostable, opinionated alternative to tools like Jira and Linear, designed for small-to-medium teams that want fast navigation, a clean keyboard-friendly UI, and full control over their data.

> Required_Dependencies
React
Next.js
TypeScript
SQLite
AWS
Initialize Link>>
ENCRYPTION: NONESTATUS: COMPILED
> File_Description

Co-founded 'Lock-in', an AI-powered desktop productivity assistant. As the lead front-end developer, I built the native UI with React and Electron, and integrated it with a Python Flask backend that used computer vision to analyze user screenshots and an LLM to generate motivational prompts.

> Required_Dependencies
React
Electron.js
TypeScript
Python
Flask
Computer Vision
Large Language Models
Initialize Link>>
ENCRYPTION: NONESTATUS: COMPILED
> File_Description

As Tech Chair, developed the convention's digital booklet (PWA) and attendee check-in QR scanner using React and Next.js, interfacing with a Google Sheets database and accounting for large quantities of people accessing it at the same time.

> Required_Dependencies
React
Next.js
TypeScript
Initialize Link>>
ENCRYPTION: NONESTATUS: COMPILED
SYS.LOG // HISTORY

Experience Log

3_ENTRIESSYNC: 2026.05.24

Anthelion Capital Holdings

Software Engineer InternDecember 2026
  • Created an end-to-end migration pipeline to transfer large-scale raw data from Microsoft Azure Storage into structured formats for processing and analysis.
  • Developed scripts to clean and transform data in DataChain, and to perform numerous queries with Snowflake for comprehensive data analysis

Credit Karma

Software Engineer InternMay 2024 - Aug 2024
  • Contributed to Intuit Assist (IA), an LLM-powered feature, by developing TypeScript and GraphQL front-to-back-end services with RPC-based server communication, and code coverage optimization, and rigorous Jest unit testing
  • Designed and implemented front-end components using proprietary tools, applying UI/UX best practices to enhance usability
  • Gained hands-on experience with AI/ML concepts, including prompt engineering and fine-tuning

AirLab

Research InternMay 2023 - Dec 2023
  • Developed and optimized semantic segmentation models using PyTorch and TensorFlow, advancing the lab's computer vision research
  • Researched and applied state-of-the-art techniques, including vision transformers, to solve real-world problems in autonomous systems and robotics
  • Leveraged HuggingFace and Weights & Biases (WandB) for experiment tracking, improving model reproducibility and research efficiency