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Achievement: YOLOAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: Pull Shark

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Sam-Gunawan/README.md

Hello! I am Samuel Theodore Gunawan

Samuel Theodore Gunawan Profile Photo

Full-Stack Developer • AI Engineer

Specalizing in end-to-end software and AI systems built to improve user outcomes, team productivity, and streamline business processes.

Get to know me

  • Builds and ships across the full product lifecycle: frontend, backend, data, and deployment
  • Delivers AI-enabled solutions focused on measurable operational value
  • Strong fit for teams modernizing workflows through LLM-based tools and AI agents
  • Combines implementation speed with engineering quality and maintainability

Education

  • University of Arizona — Bachelor of Science, CGPA: 4.0, Summa Cum Laude
  • Sampoerna University — Bachelor of Computer Science, CGPA: 4.0, Summa Cum Laude
  • SPARK Scholarship Recipient — fully-paid 4-year scholarship

Tech stack

Languages

TypeScript Python Java Go Kotlin C++

Full-Stack & Infrastructure

Angular REST API PostgreSQL Docker

AI / Data

Machine Learning LLM Workflows AI Agents Jupyter Streamlit

Featured projects

GRAFTER: HMER AI Model

Handwritten Mathematical Expression Recognition using a novel Transformer parser with Graph Critic in an iterative refinement loop. In other words, a cool AI model that can read your handwriting and translate it directly to LaTeX, the digital math syntax.
Stack: Jupyter Notebook, Python, TypeScript, HTML/CSS/SCSS

GenLingo

Interactive web-app for learning and exploring evolving Gen Z and Gen Alpha slang. Aimed for older generations to learn and relate with younger folks.
Stack: Python
Live Demo: https://gen-lingo.streamlit.app/

Gerobakku

Discovery platform for Indonesian street food vendors with map-based exploration, vendor profiles, and reviews. Think GoFood, but for street vendors, how amazing would that be?
Stack: TypeScript, Angular, Python REST API, PostgreSQL, Docker

SOSMIT

IT stock opname management web app with complex asset workflows, built to streamline logistic business processes.
Stack: TypeScript, Go, PostgreSQL, Docker

Jlaja

Personalized travel planning app focused on convenience and collaboration powered with Agentic workflows.
Stack: Kotlin

Crime-Detection-ML

ML project exploring prediction of crime patterns by time/location context.
Stack: Python
Live Demo: https://crime-forecasting-ml.streamlit.app/

Value for teams

  • Build full-stack products from concept to deployment
  • Design AI-assisted workflows that reduce manual steps in business operations
  • Orchestrate LLM tools and agent-based automations for higher throughput and better decision support
  • Translate technical systems into clear product and operational outcomes

Contact

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  1. GRAFTER-HMER GRAFTER-HMER Public

    Handwritten Mathematical Expression Recognition using a novel Transformer parser with Graph Critic in a iterative refinement loop

    Jupyter Notebook

  2. Axeldarren/GenLingo Axeldarren/GenLingo Public

    GenLingo is an interactive Streamlit application that empowers users to engage with and learn the dynamic slang used by Gen Z and Gen Alpha. Whether you're a parent, educator, or simply curious, Ge…

    Python 4

  3. Jlaja Jlaja Public

    Jlaja is a solution for travelers who value personalization, convenience, and collaboration. We’ve built this app with a long-term vision: to empower users to plan better trips and to establish con…

    Kotlin 2

  4. Gerobakku Gerobakku Public

    A discovery platform for Indonesian street food vendors (gerobak), connecting users with local food via a live map, profiles & reviews. Stack: Python (REST API), Angular (Frontend), PostgreSQL, and…

    TypeScript 2

  5. SOSMIT SOSMIT Public

    IT Stock Opname Management Web-App with complex asset fields

    TypeScript

  6. Crime-Detection-ML Crime-Detection-ML Public

    What if we could predict where and when crimes are most likely to occur—before they happen?

    Python