Hiep Vo

I'm a

About

HIEP KHAC VO (ORCID: 0000-0002-2709-2924) received his Bachelors Degree in Data Science from Luther College (United States of America) in 2021. Currently, he is working on his Ph.D. degree in Computer Science from the School of Computer Science, University of Technology Sydney (UTS) in Australia. His research interests include security-preserving distributed systems and deep learning implementations for several applications domains, including federated learning, generative adversarial networks, and cloud/fog computing.

Data Analyst & Full-Stack Software Developer.

Together with my Bachelors in Data Science and current research work on AI security, I have experience in building multiple full-stack web applications with custom APIs and Machine Learning /Deep Learning models. I also have multiple publications in Security and Privacy of multiple domains including Federated Learning, Semantic Communications and Fog/Cloud computing systems.

  • Birthday: 3 November 1999
  • Website: My Profile
  • Phone: +61 0493303476
  • City: Broadway, NSW, Australia

I'm open for Full-time/Part-time positions.

Facts

Here is an overview of my personal achivements. I have multiple personal web application projects from my course work and research. For my mentoring experience, I worked with teaching students 1 on 1 and also assist professor with monitoring classes. For my research experience, I'm working on Security and Privacy in AI and also collabored with other researchers in other domains. I also self-studied and research data analyst models and web applications.

Projects Personal projects on Data Analyst, Web applications and AI Security

Publications In AI security and Optimization algorithms

Months Of Mentorship Mentor students 1 on 1 with math and data science

Certificates on Data Analysis and Web Applications

Programming Languages

I have experience in working with front-end framworks: Angular, Vue.JS, building RestAPIs with Python and Java, and maintaining databases with MySQL or SQLite

HTML 100%
CSS 75%
JavaScript 90%
React.JS / Angular / Vue.JS 85%
Java 80%
Python 100%
R 65%
SQL 75%

Resume

Here is my simple 1 page resume including my academic records and work experience with more details

Sumary

Hiep Vo

Innovative and deadline-driven Data Analyst with 5+ years of experience designing and developing user-centered web applications for Machine Learning/Deep Learning recommendation systems.

  • 702-730 Harris Street, Broadway, NSW, Australia, 2007
  • +61 0693303476
  • hiep.k.vo@student.uts.edu.au

Education

PhD

2022 - 2025

University of Technology Sydney

Location: Sydney, Broadway NSW, Australia

Majors: Computer Science

Current Research on AI Security and Privacy

Bachelor of Arts

2017 - 2021

Luther College

Location: Decorah, Iowa, US

Majors: Data Science

Minors: Computer Science, Statistics

GPA: 3.47

Relevant Coursework: Algorithms and Data Structures, Probability and Statistics I and II, Data Analysis and Visualization, Data Modelling and Querying, Principles of Economics, OOP with Java, Internet Programming, Applied Machine Learning

Highschool Diploma

2014 - 2017

HUS Highschool for Gifted Students, Hanoi, Vietnam

Majors: Chemistry

GPA: 3.9

Grown interest in Science subjects including Chemistry, Physics and Mathematics. Developed early quick and efficient analytical skills

Certificates

Linkedin

  • Building RESTful APIs with Flask
  • Building and Deploying Deep Learning Applications with TensorFlow
  • Learning 3D Graphics on the Web with Three.js
  • Angular Essential Training
  • D3.js Essential Training for Data Scientists
  • Algorithmic Trading and Finance Models with Python, R, and Stata Essential Training

Coursera

  • Foundations: Data, Data, Everywhere
  • Build Basic Generative Adversarial Networks (GANs)

Intersect

  • PYTHON203: Data Manipulation and Visualisation in Python
  • PYTHON205: Introduction to Machine Learning using Python: Introduction & Linear Regression
  • REDCAP101: Data Capture and Surveys with REDCap

Publications

  • An Asynchronous Multi-Task Semantic Communication Method (IEEE Network 23)
  • A Novel Nature-inspired Algorithm for Optimal Task Scheduling in Fog-Cloud Blockchain System (IEEE IOTJ 23)
  • Reinforcement-Learning-Based Deadline Constrained Task Offloading Schema for Energy Saving in Vehicular Edge Computing System (IJCNN 23)
  • Reinforcement Learning for Optimizing Delay-Sensitive Task Offloading in Vehicular Edge-Cloud Computing (IEEE IOTJ 23)
  • BI-GAN: Batch Inversion Membership Inference Attack on Federated Learning (Mobiarch 22 Workshop)
  • Value-based reinforcement learning approaches for task offloading in Delay Constrained Vehicular Edge Computing (EAAI 22 Journal)
  • Red Sea Eddies Visualization for the Web (IEEE Scivis 20 presentation)

Professional Experience

Teaching Assistant

February 2024 - Current

University of Technology Sydney (UTS), Sydney, Australia

  • Led engaging lectures and hands-on Microsoft Azure and Python workshops about data warehouse fundamentals and project implementations
  • Accommodated professor with creating presentations, grading, and group projects assessments
  • Formulated extra supporting industry inspired materials including official documentations of Microsoft Azure, and recorded YouTube tutorial videos

Full-stack Developer

October 2021 - December 2021

NexGen PPT, Iowa State University, Ames, Iowa

  • Customized and Designed website layout and form requests for experiment testing and demos
  • Built Machine Learning models for predicting safety levels of PPE over >500 records of gloves data
  • Deployed full-stack recommendation web applications on team website with Flask backend
  • Link: https://nexgenppt.iastate.edu/projects

Data Analyst

November 2020 - May 2021

Center for Global Learning (CGL), Luther College, Decorah, Iowa

  • Presented case study on Luther's study abroad data of over 2000 students and gain promising insights for program restructuring and make suggestions to accommodate more students' needs for more future study abroad participation
  • Cleaned and Prepared data with Python pandas and imported to SQLite database
  • Built an interactive dashboard to visualize the students’ data using Vue, Flask and Chart.js and hosted the application on Python Anywhere (Rest API) and Github
  • Link: https://hiepvo01.github.io/CGL_Project

Math Tutor and Data Science Preceptor

September 2019 - May 2021

Student Academic Support Center (SASC), Luther College, Decorah, Iowa

  • Collaborated with professor to construct tests, prepare materials, and grade assignments in DS120 (Introduction to Data Science course)
  • Tutored 20+ students in mathematics problems, resulting in 30% - 50% grade improvements
  • Created sample projects and assisted with students' coding assignments, leading to more understanding of fundamental coding concepts and practical benefits

Data Analyst and Visualization Internship

June 2020 - August 2020

Texas Tech University, Lubbock, Texas

  • Collaborated with Texas Tech PhD students to analyze and visualize criminal data in Vast 2020 contest and Red Sea’s geological data in Scivis 2020 contest using D3.js and Three.js
  • Analyzed and detected data trends and built convolutional neural network models using Keras, Node2Vec, OpenCV and Matplotlib
  • Presented in IEEE Vis 2020 conference: IEEE Poster Session 2020

Data Entry Internship

December 2019 - January 2020

SSI Asset Management Company Limited, Hanoi

  • Collected various stock market data on request using Bloomberg Terminal
  • Assisted with presentations using Google slides and fixing program crashes
  • Predicted stock market price with linear regression models using Python

Software Engineering Internship

June 2019 - August 2019

ELSA Corp., Lisbon, Portugal

  • Built a proof of concept application leveraging Elsa’s internal API that gives feedback on users’ English pronunciation by using Dialogflow to transform users’ voice input to text
  • Created a more immersive and personalized English Speaking experience with chatbot for thousands of test users on VueJS deployed website
  • Tools: Vue, Starlette and Firebase

Portfolio

Here are some of my test projects. These projects are for demo purposes and not for full production. The codes for these projects can be found on my github. The first anime web app does not have the anime episodes due to premium member block while web scraping. The into the larger world web may take some time to generate the first graph due to delay in data parsing. The wordcloud project needs you to upload a .txt file (can be draged in from PC).

  • All
  • Data
  • GenAI
  • ML/DL
  • Web

Services

I provide services in building Machine Learning and Deep Learning based web applications as well as potential collaborative research on AI Security and Privacy.

Web app

Build websites using multiple front-end frameworks including Angular and VueJS. I also have experience in hosting websites on Github, Heroku, Netlify with secure DNS

Backend Developer

Set up backend with Python (Flask/Starlette) or Java and build RestAPIs. Have experience in deploying python backend on Pythonanywhere and Heroku

Data Analyst

Build machine learning and deep learning models in Python and R for recommendation systems. I also have experience in creating robust data visualizations using Chart.js and python libraries

Database

Build and maintain SQL database under various SQL frameworks: MySQL and SQlite

Tutoring

Offer Mentoring and Tutoring 1 on 1 or small group (< 20) with Math, Data Analyst and Software Engineer

Research

Open for Research Partnerships and competitive projects

Testimonials

These are quoted from my supervisors' recommendations

A dedicated, self-reflective student that is always willing to learn new knowledge and implement new research path. He's always improving in refining research problems and find potential solutions for AI research.

Shui Yu

Professor

What I love about Andrew is that every time I tell him that a pie chart, stacked barchart, or other means to tell the story with data is not entirely what I want, his response is, "don't worry, this is my job, tell me what you need." How refreshing.

Jon Lund

Director of International Admissions

Instead of showing only the code for the visualisation and models like other classmates, he delivers an exceptional experience with a website that shows how Data Science can be fun and interactive while solving real world problems.

Shad Shafqat

Data Scientist, Researcher, Professor

Contact

I prefer direct contact in Sydney, Australia but I'm open for remote options and you can reach out to me via email and phone number provided below.

Location:

702-730 Harris Street, Broadway, NSW, Australia, 2007

Call:

+61 0493303476

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