Ichty Te

Software Developer
Full-Stack & Backend

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About

Software developer building software end to end, from the data model underneath to the interface on top.

I'm Ichty Te, a software developer. I build applications end to end, from schema design and backend logic through to the interface, and I care as much about how a system holds together as whether it runs.

My work spans predictive monitoring built on live sensor data and machine learning, real-time web applications, and relational database design. I care about the details most skip: correctness, performance, and the small interactions that make something feel finished.

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Projects shipped
00+
Years building
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Languages
Ichty Te

Ichty TeSoftware Developer

001

Focus

  • Software EngineeringFull-stack · Java · C# · Web
  • Data & DatabasesSQL · Data modelling · Validation
  • Interface DevelopmentReact · Performance · Accessibility
002

Recognition & experience

  • AutoHack 2.02nd place · Honda Canada hackathon
003

Education

  • Diploma in Computer Programming & Co-op 2025 / 2026 Georgian College · GPA 3.3

    Object-oriented programming, web development, data structures & algorithms, and networking. Full-stack skills across Java, web technologies, and SQL.

  • Bachelor of Architectural Design 2023 / 2024 SETEC Institute · GPA 3.4

    Technical drawing, 2D/3D modelling, and structured problem solving under precise constraints.

Stack

What I work with.

Languages
  • JavaScript
  • Python
  • Java
  • C#
  • PHP
  • HTML
  • CSS
Frameworks
  • React
  • ASP.NET
Databases
  • MySQL
  • PostgreSQL
  • SQL Server
Design
  • Figma
  • Illustrator
  • Photoshop
  • Affinity
Tools & Cloud
  • Git
  • GitHub
  • VS Code
  • Azure
  • Packet Tracer
Modelling
  • AutoCAD
  • SketchUp

Selected Work

Things I've built.

Hover a project

  1. 01 Honda EQM Predictive ML · IoT
    Honda EQM predictive monitoring dashboard 2nd Place · AutoHack 2.0
    • C++ / Arduino
    • scikit-learn
    • Llama 3.3-70b
    • Groq API
    • PostgreSQL

    As UX Lead on Team Ctrl Alt Elite, I helped build a predictive equipment failure monitoring system in 24 hours at Honda of Canada Mfg. Firmware reads real-time machine health from temperature and vibration sensors; anomalies are detected with scikit-learn and surfaced as natural-language alerts via Llama 3.3-70b.

    View Project
  2. 02 KromTrip React · Firebase · Real-time
    KromTrip travel planner
    • React 19
    • Firebase
    • Firestore
    • Vite
    • Real-time

    A real-time group travel management app in React and Firebase. Members plan itineraries, split expenses with automatic settle-up, chat, and share documents, all syncing live through Cloud Firestore. A full product with auth, a live database, and eleven screens.

    Read Case Study Live Site
  3. 03 VERDE Vanilla JS · Product
    VERDE custom energy bowl builder
    • HTML
    • CSS
    • JavaScript

    A custom energy bowl builder where users compose an order step by step: base, fruits, toppings, protein, and size. Built in vanilla JavaScript with real-time price updates, form validation, and locally saved order history.

    View Project
  4. 04 NASA Space Explorer JavaScript · NASA API
    NASA Space Explorer
    • JavaScript
    • NASA API
    • HTML
    • CSS

    A space imagery explorer built in vanilla JavaScript against two NASA APIs. Browse the Astronomy Picture of the Day back to 1995, or search across 140,000+ images in NASA's media library. Dependency free, with full keyboard support.

    View Project
  5. 05 Retro Game Store C# · ASP.NET Core
    Retro Video Game Store e-commerce app
    • C# / .NET
    • ASP.NET Core
    • EF Core
    • Identity Auth
    • SQL Server

    A full e-commerce store built with ASP.NET Core MVC and Entity Framework Core. Features user accounts with ASP.NET Identity, a categorised product catalogue, shopping cart, and order management, all backed by code-first database migrations and a relational schema.

    Live Demo View Code
  6. 06 Hand & Object Detection Python · Computer Vision
    Real-time hand and object detection with LLM narration
    • Python
    • YOLOv8
    • MediaPipe
    • Groq LLM
    • OpenCV

    A real-time scene understanding system that reads a live webcam feed, detects objects with YOLOv8, tracks hands with MediaPipe, and feeds the results to a Groq LLM to generate natural-language descriptions of what is happening on screen, drawn back as live overlays.

    View Code