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Bloomberg Interview - Coggle Diagram

- - - - Blockchain
      - Hyperledger Fabric
      - Hyperledger Caliper
        
        Benchmark
        
        Orchestration
      - MERN Stack development
      - Visualization
      - Microservices (Containerization)
        
        Docker
        
        Kubernetes
        
        AWS
        
        Lambda
        
        S3
        
        etc.
        
        GCP
    - - Summer Intern
      - Full Project frontend and backend engineer
      - Data visualization engineer
      - Open source project contributor
    - - Accomplish the full project on time and meet all the requirements
        
        GUI front end
        
        Configuration guide
        
        Simple Documentation
        
        API connecting with Caliper_CLI and run the testing command
      - Helping the open source community resolving configuration issues caused by VM npm permission issues
    - - Configuration of the Caliper_CLI is very unstable in different environments. And the result is that I cannot get clear data flow from real output in the very beginning.
        
        Solution: I fast communicated with my mentor and then talked with another main contributor of the Caliper_cli working in IBM. Then we decided to directly abandon the old data output, and focusing on the customer need and MVP lean idea for testing purposes. So the project can be developed smoothly without the waiting of fixing the issue in the main project.
  - - - Machine Learning and NLP
        
        Data cleaning
        
        Logistic regression Classifier for sentimental analysis
        
        SVM
        
        API development
        
        Presentation in the startup weekend.
    - - Machine Leanring Engineer
    - - Accomplished higher than 83% of CV accuracy
      - First place in the Blockchain Startup weekend hosted by TechStar.
    - - The conflict of picking which algorithm for sentimental analysis with 2 other teammates from Microsoft. Both have many years of development experience. But convincing then with action actually worked.
  - - - Front end UI/UX Design
      - Machine Learning Algorithm
      - MVP
      - AWS
    - - Frontend Engineer and Machine Learning Engineer
    - - First intern for a startup made me doing multiple things and expanding through multiple part of the project
        
        Solution: Working with other teammates focusing on them, and contributing to them by contributing to where they need help: ideas, bridging, and implementation for MVP.
        
        Learning new tools: AWS for Elastic Search and ML.
        
        Why using these tools and how efficient was them
    - - Learned the work flow of project, and practiced prototype and using of the AWS for modern application development.