APP Girls Founder and Lecturer. Hackathon winner.
I use swift, react native, and react for application projects, use python to do machine learning projects, and also devoted to developing, teaching, and sharing.
Master of Power Mechanical Engineering.
Bachelor of Resource Engineering.
* Independent development
* Programming language: React native, web3.js
* Building cross-platform apps for Solana Defi App.
Connect to Solana server (solana/web3.js ) to create/import wallet with private key/mnemonic words, then send/receive tokens with the app. Manage Crypto assets with Dashboard (raydium API), and swap tokens with raydium transaction (use some functions of raydium to customize data to execute transactions). App also display NFT, transaction history, blockchain news (in app browser),...,etc, help user use decentralized trading platform and decentralized wallet easily.
* Collaborative development
* Programming language: Python, flask, html, css, javascript, React native
* Building Program Trading with Futures Investment System and several apps and web.
Data processing and crawling with python and use Machine Learning for strategy ( AI/ML Framework: Keras) and administration of the fund. Make the connection (api) between the machine-learning and backend. Build app to AWS server (Ubuntu).
* Collaborative development
* Programming language: React native, Flutter, React, Swift, Kotlin
* Building iOS and Android apps, also Web with responsive web design.
App developer with React native, build cross-platform apps, also need to cooperate with global designers and backend. Beside, use React to build web with responsive web design.
* Collaborative development
* Programming language: React native
* Building iOS and Android apps.
App developer with React native, build cross-platform apps, also need to cooperate with designers and backend.
* Independent development
* Programming language: Swift
* Building iOS apps.
iOS developer with Swift, also need to cooperate with designers and clients.
APP Girls aims to give tools for girls and women to build their ideas. Make courses and several activities for teaching and sharing.
* Independent development
* Programming language: Swift
* Building iOS apps.
1. Connect to APIs (Facebook, Google, Microsoft Azure, etc.)
2. multi-language support
3. app launch to App store
4. Firebase Database
5. UIKit, CoreAnimation, CoreData, CoreBluetooth, Notification, ARToolkit, Spiritkit, Social, MapKit, CoreLocation, etc.
1. Connect to APIs (Facebook, Google, Azure, etc.)
2. ES6 and Promise/Async
3. multi-language support
4. app launch to App store/Google play
5. react-redux, middleware, etc.
6. CI, CD (Jest, fastlane), Unit test
7. Flexbox
1. Data processing and crawling
2. Machine Learning
3. tensorflow/keras
4. sk-learn
5. Flask
1. Hooks
2. ES6 and Promise/Async
3. react-redux, middleware, etc.
4. Flex-box
5. Connect to APIs (Facebook, Google, etc.)
6. babel/webpack
7. Responsive Web Design
8. UI Framework: Material UI / Ant Design
1. Responsive webpage
2. Connect to APIs (Facebook, Google,...)
3. use bootstrap/ant-design ui framework
4. ES6
Git add, commit, branch, checkout, push, pull, init...(Git flow) (Mostly use Source Tree and BitBucket)
Using the Microsoft Azure's AI face recognition API. After taking photos with the iOS app, you can know the user's age and mood, we also use imgur, firebase, and the back-end AWS to connect to the web to create an online voting system.
After using the reptile to climb down the case base of court, we
separate the sentence into words (with Jieba), then training the words with the vector space (word2vec). After that, we use machine learning (SVM) and train them into 15 different models of legal judgment. By entering user’s situation on the iOS app, we will know what law has been committed in this situation.
Using fb messenger API, firebase, iOS, android and node.js. After logging in to the app, your location will be recorded immediately. Once you can’t find your mobile phone, you can message the fb robot, the fb robot will use fb “uuid” to judge who is the user and inform the current location of the user’s mobile phone.
Using the 3D printer to print the keys and putting the button below. Using the empty aluminum cans as conduction and using the arduino wifi to transfer the signal to the website (with node.js socket-io). When you press the key, it will be displayed on the website and get the piano sound. if you touch the aluminum can, you can get the sound of the drum on the website.