Mark Chen
Austin, TX
Education
The University of California, Los Angeles
Master of Science, Electrical and Computer Engineering
Dec. 2020
The University of Texas at Austin
Bachelor of Science, Biomedical Engineering
May 2019
Experience
Android Engineer / Data Analyst
eHealth Research Lab
Jun. 2020 – Aug. 2020
  • Deliver an Android app for Sleep Apnea study through surveys, physical tests (Valsalva, PVT, Stroop), and body measurements (Blood Pressure, Oxygen Level)
  • Use Java and Threading to collect real-time measurements from Smartphone, Bluetooth pulse oximeter and Bluetooth blood pressure cuff
  • Analyze the collected data and store the result in both local storage and Google Firebase with Data consistency
Certificates
AWS Certified Developer – Associate
QMZPBZRJG2VEQSKP
Sep. 2021
AWS Certified Solutions Architect – Associate
DW0MLVNLDMQ41T31
Aug. 2021
Projects
Cloud Serverless Website
Python, Html/CSS/JavaScript, AWS
Sep. 2021
  • Host a personal website on a S3 bucket and serve it with a CloudFront distribution
  • Write a Lambda function to update a visitor counter in a DynamoDB table
  • Define the website’s REST API in API Gateway to update and display the visitor counter
  • Manage infrastructure with CloudFormation, SAM, and CI/CD with GitHub Actions
Heart Failure /Attack Risk Manager
Android, Java, TensorFlow
Apr. 2020 - Jun. 2020
  • Create an Android app that monitors the chance of having heart failure/attack
  • Build an ANN model for heart failure/attack at risk predictions with UCI Heart Disease Data Set
  • Setup an achievement system to support healthy heart and encourage user participation
Human Movement Classification with Electroencephalography
Python, TensorFlow
Feb. 2020 – Mar. 2020
  • Build three CNN, RNN,and CNN+RNN models to classify four human movements (left hand, right hand, both feet, and tongue) from human EEG
  • Apply Brain-Computer Interface Competition IV’s EEG dataset to train and test these Neural Networks
  • Analyze the model performaces and choose the CNN+RNN model as the best classification model
Same-Body Authentication App
Android, Java
Jan. 2020 – Mar. 2020
  • Develop an Android app that tells whether a Smartphone, a Smart Watch, and an Earable are on the same user’s body
  • Employ Device Registration & Periodic Authentication to verify the body sensor network
  • Analyze body measurements (velocity, acceleration, heartrate, steps) for theft detection
Audio & Video Synchronizer
Python
Oct. 2019 – Dec. 2019
  • Find correlations between a person’s lip movements and voice activities in a captured, out-of-sync stream with Open Mouth Detection and Speech Detection
  • Sync the person’s audio to video by inserting an audio-based time delay
  • Develop an app that auto-perform these two tasks to produce an in-sync media file
NutriPlan – Intelligent Diet Tracker
JavaScript, Flask
Oct. 2019 – Dec. 2019
  • Make a Web app that tracks and visualizes user’s food intakes from daily meals
  • Create an explainable AI to recommend good and bad foods for user’s future meals
  • Provide nutrition intake projections based on user’s meal planning
Skills
  • Internet of Things (IoTs), Mobile Computing, Machine Learning, Neural Networks, Health Analytics, Cloud Computing
  • C, C++, Java, Python, TensorFlow, NumPy, SciPy, Html/CSS/JavaScript, Git/GitHub, Agile/Scrum, Bluetooth, Android Platform, AWS Platform
  • English, Chinese, Taiwanese