Hi! I'm

Jung In Chang

Software Engineer

Full-stack & ML engineer with 3+ years of industry experience building high-performance, scalable infrastructure. Specialized in production-ready ML systems, large-scale data pipelines, and optimized backend architectures. Currently focusing on LLM/RAG systems and MCP server automation.

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profile.json

{
  "name":        "Jung In Chang",
  "location":    "Chicago, IL",
  "role":        "Software Engineer",
  "experience":  "3+ years",

  "education": {
    "current": "M.S. CS @ UIUC",
    "past":    "B.S. CE @ Boston University"
  },

  "focus": [
    "Full-Stack Engineering",
    "ML Infrastructure",
    "Distributed Systems"
  ],

  "stack": [
    "TypeScript", "Python",
    "React", "Node.js", "AWS"
  ],

  "openTo":      "Full-time & Internships",
  "github":      "changju784"
}

Experience

Veson Nautical 08/2022 – 06/2025

Full Stack Software Engineer

Contributed to the development of scalable and high-performance maritime SaaS solutions that enhanced system reliability and client satisfaction. Implemented core features in IMOSX CoCaptain, an automated billing platform leveraging ML-driven laytime calculations, which supported a major enterprise contract. Optimized cloud infrastructure and data replication workflows using AWS SNS/SQS and Lambda, improving latency and system scalability. Streamlined CI/CD pipelines and delivered user-centric interfaces that improved operational efficiency across Veson's global client base.

CodeCrain Inc. 06/2021 – 11/2021

AI/ML Engineer Intern

Developed the core engines of a review analytics platform integrating advanced NLP techniques such as ODP classification, named-entity recognition, and sentiment analysis. Designed and optimized CNN-LSTM architectures, achieving a 10% improvement in F1-score for sentiment prediction. Built an automated web crawler and AWS-based data pipeline to collect and preprocess large-scale text datasets, significantly reducing model training time and manual intervention.

Education

University of Illinois Urbana-Champaign Aug 2025 – Present

Master of Computer Science

Concentration in LLM RAG and MCP server automation.

Boston University Sept 2019 – May 2022

Bachelor of Science in Computer Engineering

Concentration in Machine Learning. Dean's List for 3 semesters.

Projects

Crypto Drift Guard

Research project measuring how cryptocurrency trading-agent decisions drift when tweet-derived sentiment data is mutated. Uses FinBERT to score BTC/ETH tweets and runs deterministic and FinGPT-style agents on baseline and mutated data windows to quantify divergence under sentiment amplification, temporal jitter, and adversarial tweet injection.

GitHub

KubeAI Sentry

A multi-tenant Kubernetes simulation that models AI workload lifecycles — Inference, Training, and Data Cleansing — using CPU and RAM as proxies for GPU and VRAM. Demonstrates three core cluster management properties: resource isolation, OOMKill detection, and priority-based scheduling.

GitHub

Trip Circle

Collaborative travel-planning app to create, share, and fork trip itineraries. React + TypeScript frontend with Node.js/Express + MongoDB backend.

Live Demo

Chi-311 Agentic AI

MCP-compatible server exposing automation tools for filing non-emergency 311 service requests in the City of Chicago.

GitHub

Social Media Stock Estimator

Large-scale Reddit sentiment analysis integrated with market data to forecast short-horizon stock returns via a regularized prediction model.

GitHub

What Should I Wear

Fine-tuned vision-language model for weather-aware outfit recommendation using multimodal image and environmental data.

GitHub

AT&T 5G Network Performance Testing

Kotlin Android app automating 5G network tests with real-time Firebase updates. scikit-learn multi-regression model predicting speeds from GPS and altitude data.

GitHub