Portfolio
  • Projects
  • Technologies
  • Data Science

    • Hello There
    I'm Felipe Jiménez

    I'm a Software Engineer. I'm passionate about building software that improves people's lives.

    Get in Touch

    Projects

    Pudu

    Android app that shows nutritional and environmental impact information about a given food by scanning its barcode. It also helps the user reach their fitness goals while also incentivizing them to pick foods that are environmentally friendlier. We developed this MVP for IBM's Call For Code Hackathon, we were regional finalists.

    Stack
    • Kotlin
    • Android
    • Firebase
    • IBM Speech to Text

    Comparasuper

    Chilean supermarkets price comparer. It allows users to compare prices and see the price-history of the products in the 4 biggest supermarket chains in Chile. The final idea is having an independent project that uses the data to catch market trends and detect price-fixing cartels automatically

    Stack
    • Django
    • MySQL
    • Python
    • Selenium
    • HTML
    • CSS
    • Bootstrap
    • JavaScript

    Ficha Facil

    Translates to 'Easy medical records', it allows users to own their medical records and to share them with their doctors, . This MVP includes user login/registration, saving medical records, registering symptoms and chatting with their doctors (if both patient and doctor agree). We developed it for NTT Data's Hack the Challenge Hackathon.

    Stack
    • Kotlin
    • Firebase

    Python Image Processing

    Does image processing both using no external libraries (through understanding the methods and modifying the pixels directly) and also with OpenCV. It includes gray scale methods, histogram equalization, thresholding, ROI extraction and patterns recognition. Everything is documented through guides

    Stack
    • Python
    • WxPython
    • Pandas
    • OpenCV

    Data Science

    Differential Privacy concepts and real world applications

    Differential privacy is a framework that allows us to share general information about a dataset, while keeping the individual's data in it private. DP introduces the riguours mathematical measurement of privacy loss. Companies like Google, Microsoft and Apple are using DP to share information about their users without compromising their privacy.

    Stack

    • Differential Privacy
    • Data Science
    • Machine Learning

    Comparing vanilla and differentially private Neural Networks

    This article shows how to train neural networks both with and without differential privacy. We process the data appropiately and create the neural networks using TensorFlow and Keras. We then compare the results of the models in terms of accuracy and epsilon.

    Stack

    • Differential Privacy
    • Data Science
    • Pandas
    • Tensorflow
    • Tensorflow Privacy


    Technologies

    I have built mobile and web applications using the following frameworks, tools and languages:

    • Front-End

      HTML and CSS
      Vanilla Javascript
      Bootstrap
      Next.js

    • Back-End

      Django and Laravel
      PostgreSQL and MySQL
      Firebase

    • Mobile development

      Java and Kotlin
      Android Studio
      Android's XML

    About

    I'm a Chilean Software Engineer with professional experience in Django, MySQL, and PostgreSQL for backend development, and React for frontend. I'm constantly learning and have worked on projects using Next.js, Kotlin, Firebase, Unity, and Godot. I'm adaptable to new technologies and a supportive team member.

    I like science fiction books, VR Games and fitness.

    Sometimes I participate in hackathons and game jams.