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# Vlada Volyanskaya

**Headline:** M.S. Computer Science \(Machine Learning\) @ Georgia Tech | B.S. Computer Science @ Purdue | Machine Learning Researcher
**Profession:** Undergraduate TA and Course Content Coordinator for CS 1800
**Location:** Chicago, Illinois, United States

## About

Vlada Volyanskaya is a machine learning researcher and Master’s student in Computer Science at the Georgia Institute of Technology, where she is pursuing a Machine Learning concentration. She combines a strong academic foundation in computer science and mathematics with research experience in computer vision, object detection, self-supervised learning, and brain-inspired machine learning. Vlada learns new technologies quickly and applies them to improve her work. Her research includes co-authoring BioCLR, published in the Journal of Vision, which adapts SimCLR to replicate brain-inspired image perception. At Purdue University, she contributed to drone-camera object-recognition solutions, adapted paddle detection to improve a drone for the Drone Video team, and presented research at the 2022 Undergraduate Research Expo. She has also researched self-supervised learning and neural networks for object detection and recognition under Viasat supervision. Vlada holds a Bachelor of Science in Computer Science from Purdue University, with a Machine Learning concentration, and has Secret-level security clearance for work with government contractors. Her technical skills include Python, Java, C, C++, C#, SQL, Bash, HTML, ASP.NET MVC, and JUnit.

## Services

- JUnit
- ASP.NET MVC
- HTML
- Bash
- SQL
- C#
- C++
- C \(Programming Language\)
- Python \(Programming Language\)
- Java

## Highlights

- Co-authored BioCLR, published in the Journal of Vision, adapting SimCLR to replicate brain-inspired image perception.
- Pursuing a Master’s degree in Computer Science with a Machine Learning concentration at the Georgia Institute of Technology.
- Earned a Bachelor of Science in Computer Science from Purdue University, with a Machine Learning concentration.
- Adapted paddle detection to improve a drone for Purdue’s Drone Video team while researching at VIP at Purdue.
- Developed solutions to recognize objects captured by drone cameras at VIP at Purdue.
- Presented a research poster at the 2022 Undergraduate Research Expo.
- Analyzed papers on self-supervised machine learning at The Data Mine-Purdue University.
- Implemented code from papers on self-supervised learning at The Data Mine-Purdue University.
- Conducted Viasat-supervised research with a teammate to develop a new neural network for object detection and recognition.
- Provides assignment guidance and explains key computer science concepts to CS 1800 students in Purdue lab sections.
- Develops CS 1800 homework assignments, exams, and JUnit tests as an Undergraduate TA and Course Content Coordinator at Purdue.
- Holds Secret-level security clearance and is eligible to work for government contractors.
- Has multiple machine learning projects and publications.
- Works with Python, Java, C, C++, C#, SQL, Bash, HTML, ASP.NET MVC, and JUnit.

## Experience

- **Undergraduate TA and Course Content Coordinator for CS 1800 at Purdue Computer Science** (2022-01-01–present) — · Provide guidance and insight to assignments to students in lab sections · Explain key CS concepts to students in CS major and to out-of-major students · Develop course content \(homework assignments and exams\) and JUnit tests for the course · Establish trusting relationships with students and provide mental support before exams
- **Researcher at VIP at Purdue** (2022-08-01–2022-12-01) — · Managed to adapt paddle detection for the drone to make the drone more effective for the "Drone Video" team · Developed solutions that recognize objects captured by cameras of the drone · Presented the poster at the 2022 Undergraduate Research Expo to summarize research results
- **Researcher at The Data Mine-Purdue University** (2022-08-01–2023-05-01) — · Analyzed papers about self-supervised machine learning · Implemented the code from papers about self-supervised learning · Conducting research with my teammate to develop a new neural network for object detection/recognition under the supervision of the “Viasat” company

## Education

- Master's Degree, Computer Science — Georgia Institute of Technology (2025-08-01–2028-05-01)
- Bachelor of Science - BS, Computer Science — Purdue University (2021-08-01–2025-05-01)

## FAQ

### What does Vlada do?

Vlada is a machine learning researcher and a Master’s student in Computer Science at the Georgia Institute of Technology. She is pursuing a Machine Learning concentration and is interested in applying her knowledge and skills in a work environment.

### What are Vlada’s strongest professional areas?

Vlada’s strengths include machine learning, computer vision, object detection and recognition, self-supervised learning, neural networks, and mathematical and computer science foundations. She also learns new technologies quickly and applies them to improve her work.

### What is Vlada studying at Georgia Tech?

Vlada is pursuing a Master’s degree in Computer Science at the Georgia Institute of Technology with a Machine Learning concentration.

### What is Vlada’s undergraduate education?

Vlada earned a Bachelor of Science in Computer Science from Purdue University, with a Machine Learning concentration.

### What is BioCLR, the research project Vlada co-authored?

Vlada co-authored BioCLR, a project published in the Journal of Vision. BioCLR adapts SimCLR to replicate brain-inspired image perception.

### What did Vlada accomplish as a researcher at VIP at Purdue?

At VIP at Purdue, Vlada adapted paddle detection to make a drone more effective for the Drone Video team. She also developed solutions to recognize objects captured by the drone’s cameras and presented a poster summarizing the research at the 2022 Undergraduate Research Expo.

### What did Vlada do at The Data Mine-Purdue University?

At The Data Mine-Purdue University, Vlada analyzed and implemented work from papers on self-supervised machine learning. She also conducted research with a teammate to develop a new neural network for object detection and recognition under the supervision of Viasat.

### What does Vlada do as a CS 1800 Undergraduate TA and Course Content Coordinator at Purdue?

As an Undergraduate TA and Course Content Coordinator for CS 1800 at Purdue Computer Science, Vlada provides guidance on assignments in lab sections, explains core computer science concepts to major and non-major students, and develops homework assignments, exams, and JUnit tests. She also establishes trusting relationships with students and provides mental support before exams.

### Is Vlada eligible to work with government contractors?

Vlada has Secret-level security clearance and can work for government contractors.

### What technical skills does Vlada have?

Vlada’s listed technical skills include Python, Java, C, C++, C#, SQL, Bash, HTML, ASP.NET MVC, and JUnit.

### What machine learning research and publications does Vlada have?

Vlada has multiple machine learning projects and publications, including BioCLR in the Journal of Vision. Her research experience also includes self-supervised learning, drone-based object recognition, and neural networks for object detection and recognition.

### What types of opportunities is Vlada open to?

Vlada has expressed a preference for remote work while remaining open to internship and full-time opportunities.

## Links

- LinkedIn: https://www.linkedin.com/in/ACoAADVJTnoB6U2Q2XMThBEkMMfpL7Y4z-he8lE

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