Kez Rijadi

Kezia Rijadi

I like to 

Sophomore at the University of British Columbia building software solutions for a more sustainable and accessible future. I'm excited about bringing impactful ideas to life, whether it's developing useful applications or fostering opportunities for students in tech.

Currently a...

  • BSc. Computer Science Student @ UBC
  • Engagement Coordinator @ nwPlus
  • SWE Intern @ Kawan Lama Group
  • CS TA + Support Analyst @ UBC
  • Talk to me about...

  • Machine Learning
  • Data Analytics
  • Web Development
  • Community Engagement
  • I also like...

    🏸   smacking birdies
    🚶   walking insane distances
    🥘   cooking up comforting meals
    things I've built
    skog-alt
    skog
    A web application automating panic attack first aid and anxiety trigger detection using conversational voice AI.
    NextJS
    TypeScript
    Hume EVI
    Google Cloud
    VAPI
    Firebase
    OpenAI API
    Cartesia
    JalanKami-alt
    🏆 JalanKami
    A web application leveraging AI to improve pedestrian accessibility by automating manual sidewalk surveys and urban needs assessments.
    React
    TypeScript
    Pytorch
    Tailwind
    Flask
    Firebase
    OpenAI API
    Study Spotter-alt
    Study Spotter
    Community-driven website that helps students find the best study spots based on personalized preferences and real-time user reviews.
    Next.js
    React
    Prisma
    MongoDB
    Tailwind
    Maps API
    SPArk Business Plan-alt
    🏆 SPArk Business Plan
    Utilising data-driven insights and predictive ML models to create a cohesive, business-oriented solution to credit card fraud.
    Python
    Machine Learning
    Tensorflow
    Data Analytics
    Marketing
    ReadBuddy-alt
    ReadBuddy
    A browser extension to customize text and display features specially designed for dyslexic and visually impaired users.
    HTML
    Tailwind
    Javascript
    Google Cloud Platform
    Injurney-alt
    Injurney
    A web application for users with chronic injuries to generate and integrate personalized care plans into their lifestyle.
    React
    TypeScript
    Next.js
    Tailwind
    MongoDB
    OpenAI
    WiDS x SAP Analytics Case Competition-alt
    🏆 WiDS x SAP Analytics Case Competition
    Utilized data analytics and compelling visualizations to develop an AI democratization strategy aimed at reducing customer churn.
    Python
    Machine Learning
    Data Analytics
    Data Visualization
    what I've been up to
    internship

    Software Engineer Intern @ Kawan Lama Group

    Sep 2024 - Present
    design team

    Applied AI Engineer @ Agrobot

    Oct 2024 - Present
    club

    Web Developer @ BOLT UBC

    Oct 2024 - Present
    part-time

    Teaching Assistant @ The University of British Columbia

    Sep 2024 - Present
    part-time

    Support Analyst @ UBC Advanced Research Computing

    Sep 2024 - Present
    club

    Events Director @ UBC Product Management Club

    May 2024 - Present
    club

    Engagement Coordinator @ nwPlus

    May 2024 - Present
    volunteer

    Web Developer @ Develop For Good

    May 2024 - Sep 2024
    club

    B2C (Marketing) Portfolio Member @ AIESEC in UBC

    Jan 2024 - Sep 2024
    club

    VP Web Development @ INFISA Santa Laurensia

    Oct 2021 - Jan 2023