About Me

▪ Tech Stack: Python (Scrapy, Selenium, Pandas), PHP, Redis, Airflow, PostgreSQL, AWS.

   

▪ Date: 06/2023 - 9/2023.

▪ Location: Ho Chi Minh City, Vietnam (Remote).

▪ Site.

Responsibilities

▪ Developed a distributed web‑scraper with Python (Scrapy, Selenium, Pandas), Redis, and Airflow, reducing runtime by 75%.

▪ Automated ETL from WordPress to Strapi CMS with PHP, Pandas, RESTful APIs, PostgreSQL, and AWS S3, reducing operational time by 25%.

▪ Built a WordPress blog website using AWS EC2, boosting traffic organically from search engines.

▪ Tech Stack: Python (Dash, Plotly), Docker, Kubernetes.

   

▪ Date: 04/2023 - Present.

▪ Location: Falls Church, Virginia.

▪ Site.

Responsibilities

▪ Designed and built an interactive website for statistics and ML algorithms visualization with Python (Dash, Plotly) and Docker.

▪ Deployed the website on Kubernetes cluster, ensuring scalability and reliability.

▪ Tech Stack: Python, Dash, Tensorflow, Matplotlib, Pandas, Seaborn.

       

▪ Date: 05/2022 - 08/2022.

▪ Location: Arlington, Virginia.

▪ Poster.

Responsibilities

▪ Developed and fine‑tuned RNN, LSTM, and Transformer forecasting models with Python and Tensorflow, reducing operational costs by 30%.

▪ Enhanced time‑series data quality via data cleaning, feature engineering, exploratory data analysis (EDA) using Pandas and Plotly.

▪ Designed and implemented the visualization dashboard with Python and Dash for seamless integration of ML into existing SCADA water system.

▪ Boosted prediction accuracy by 4% and doubled database records by implementing TimeGAN data synthesis model.

▪ Tech Stack: C#, C++, Unity.

       

▪ Date: 09/2021 - 05/2022.

▪ Location: Blacksburg, Virginia.

▪ Poster, Presentation.

Responsibilities

▪ Improved transparency by applying ROS-Bridge data transfer pipeline between the low-level robotic controller and Unity.

▪ Created 3D interactive simulation environments in Unity with VR headsets and Haptix Gloves synchronization.

▪ Tech Stack: Python, Javascript, PyTorch, Pandas, Plotly, SpaCy, Flask, MySQL.

▪ Date: 05/2021 - 08/2021.

▪ Location: Alexandria, Virginia.

Responsibilities

▪ Developed Encoder‑Decoder machine translation models (RNN, LSTM, GRU, and Transformer) with PyTorch and SpaCy.

▪ Evaluated different configurations of context vector to find the remedy of information loss problem in the decoding process.

▪ Tech Stack: Python, Tensorflow, Matplotlib.

▪ Date: 09/2020 - 05/2021.

▪ Location: Williamsburg, Virginia.

Responsibilities

▪ Led a team to develop CNN models (ResNet, VGG, Inception‑V3) with Python and Tensorflow for satellite‑image‑based road quality classification.

▪ Enhanced benchmark dataset by 40% through efficient data collection and class balancing using image augmentation techniques.

▪ Mitigated 70% of data‑poisoning attacks on the model by implementing and fine‑tuning an Auto‑Encoder.

▪ Achieved 3rd place among eight competing universities.

▪ Tech Stack: C++, MATLAB.

           

▪ Date: 09/2020 - 05/2021.

▪ Location: Blacksburg, Virginia.

Responsibilities

▪ Applied Sensor Fusion algorithm to Chevrolet Blazer 2019 by integrating/testing Borsh radar and Mobileye6 camera sensors.

▪ Implemented and tested the algorithm's performance in simulation; earned full points in the EcoCar Competition's road driving tests.

▪ Tech Stack: C++, Circuit Design, Arduino, MIT Mobile App Inventor.

▪ Date: 05/2020 - 05/2021.

▪ Location: Blacksburg, Virginia.

       

Responsibilities

▪ Conducted 3 two‑hour office sessions and graded labs for 50+ students 2 times per week.

▪ Proactively addressed student inquiries on micro‑controller applications and software development in C.

▪ Tech Stack: C++, Python.

▪ Date: 05/2020 - 08/2020.

▪ Location: Blacksburg, Virginia.

Responsibilities

▪ Designed a controller with two stepper motors using Python, Arduino, and GRBL library for long-range signal receiving or signal sweeping tasks. The user can control the Antenna's movements through their preferred angles by entering the angles in the Python scripted interface.

▪ Concentration: Software & Machine Intelligence.

▪ GPA: 3.75.

▪ Date: 08/2022 - Present.

▪ Location: Falls Church, Virginia.

▪ Concentration: Machine Learning, Computer Science Minor.

▪ GPA: 3.60.

▪ Date: 08/2018 - 05/2022.

▪ Location: Blacksburg, Virginia.

▪ Deep Learning

▪ Web Application Development

▪ Software Engineering

▪ Data Visualization

▪ Advanced Machine Learning

▪ Trustworthy Machine Learning

▪ Data Analytics

▪ Computer Vision

▪ Digital Image Processing

▪ AI & Engineering Applications

▪ Real-time Systems

▪ Data Structure & Algorithms

▪ Principles Of Computer Architecture

▪ Tech Stack: Python, Dash, Bootstrap, Docker, Kubernetes, HTML, CSS.

   

▪ Developed a user‑friendly real‑estate web app serving diverse stakeholder needs, using Python (Dash, Plotly), SQLite, Docker, and GCP.

▪ Conducted data processing and EDA using pre‑trained NLP (HuggingFace’s BERT) and CV (PyTorch’s YOLOv5) for insightful market analytics.

▪ Implemented predictive models for interest level and rental price, alongside LLaMA chatbot, enhancing user engagement and decision support.

▪ Link.

▪ Tech Stack: Python, Dash, Bootstrap, Docker, Kubernetes, HTML, CSS.

   

▪ Designed and built the user‑friendly website to aid CS students in effectively comprehending complex ML and statistics concepts.

▪ Dockerized and deployed the website on Virginia Tech’s Rancher (Kubernetes) cluster to improve scalability and reliability.

▪ Link.

▪ Tech Stack: Java, Vue.js, MySQL, Figma, HTML, CSS.

   

▪ Developed the single‑page website with client/server‑side transaction validation, session handling, and user history tracking.

▪ Implemented the middleware and RESTful APIs with Java Servlet, Apache Tomcat and MySQL database.

▪ Employed the Data Access Object (DAO) design pattern and adhered to SOLID principles, ensuring the modular and maintainable system.

▪ Github.

▪ Tech Stack: Python, Javascript, MySQL, Flask API, Werkzeug API, CKEditor API, Bootstrap, HTML, CSS.

   

▪ Transformed Y Combinator’s Hacker News into a user‑centric web app, leveraging RESTful APIs for efficient data interchange.

▪ Developed a multi‑page functionality including user registration, login, post management, commenting system, and voting mechanism.

▪ Github.

▪ Tech Stack: C++, Circuit Design, Arduino, MIT Mobile App Inventor.

       

▪ Designed, built, and tested hardware simulation with 8 automated sensors, controlled wirelessly via an Android mobile app.

▪ Appointed to class's teaching assistant by professor due to project's design, presentation, report, and assistance to classmates.

▪ Github.

▪ Best journal poster for ML applications in cyberbiosecurity, awarded by juries amongst 40+ submissions.

▪ Link.

▪ Awarded AI Fellowship out of 21 universities in the Commonwealth of Virginia state.

▪ Link.

▪ One of 30 fellows (out of 150 applicants) for the US's largest geospatial data security lab.

▪ Link.

▪ Taught C/C++, Arduino, and electric foundations and robotics projects for 15-25 club members.

▪ Supervised club Officers in making teaching materials and mentoring club members.

▪ Tripled the number of participants by hosting peer networking events and info sessions to connect students to faculty-sponsored and company-sponsored opportunities in the ECE department.

▪ Collaborated with company representatives in IEEE@VT Summit, resume review sessions, and tech talks.

▪ Raised a $6,000 annual sponsorship from Collins Aerospace, Lockheed Martin, Boeing, and Texas Instruments.

▪ Served as a sounding board for various issues that confront first-year students during the first 10 weeks.

▪ Held weekly meetings to provide 10 mentees about how to smoothly transition into Virginia Tech culture.

▪ Organized “Fun Friday’s” peer networking events and the IEEE Summit industry/leadership conference.

▪ Won Team Second Place in the 2017 Minnesota High School Mathematics League Tournament.

▪ Assisted the teacher with explaining difficult problems to members.

▪ Assigned math areas to different teammates based on skill sets to boost the team's total score.