Hi, I'm Arun Krishnavajjala

Computer Science Researcher
Machine Learning Engineer

Hello, I am Arun

I am pursuing my Ph.D. in Computer Science (CS) from George Mason University(GMU), Virginia. I graduated with my Bachelor's and Master's in Computer Science from the Volgenau School of Engineering at George Mason University. I joined GMU's Ph.D. program in Fall 2021 and am currently working in the  SAGE Lab  advised by Dr. Kevin Moran. My research is focused on using machine learning and computer vision techniques to create developer-facing tools that enhance the software development workflow, bridging the gap between innovation and practical implementation.

Certifications: Stanford Machine Learning
Interests: Photography, Golf, Basketball, Football (NFL), and Formula 1

My Resume

Current Research:

My current project is SearchAccess, a tool for developers to search for Android App Screens based on an initial mockup of the screen. I'm working on making mobile apps more accessible for all users. I use computer vision techniques to study how different elements in app screens are organized. To do this, I use a combination of tools and technologies, including PyTorch, OpenCV, and BERT in order to generate the image-based search query


A. Krishna Vajjala, SM H. Mansur, J. Jose, and K. Moran. "MOTOREASE: Automated Detection of Motor Impairment Accessibility Issues in Mobile App UIs". In Proceedings of the 46th ACM International Conference on Software Engineering (ICSE 2024), Lisbon, Portugal April 14-20, 2024. ARXIV Paper [PDF]

Aj. Krishna Vajjala, A. Krishna Vajjala, Z. Zhou, and D. Rosenblum. "Analyzing the Impact of Domain Similarity: A New Direction for Cross-Domain Recommendation". In Proceedings of the International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, June 30 - July 5, 2024. Paper [PDF]

A. Krishna Vajjala and K. Moran. "Engineering Accessible Software". In Proceedings of the 39th IEEE International Conference on Software Maintenance and Evolution (ICSME'23), Doctoral Symposium, Bogota, Colombia, 2023. [PDF]



Graduate Research Assistant

Summer '22 - present

- Identified the drought of developer facing tools that leverage Machine Learning techniques to make accessible Android applications
- Designed and implemented MotorEase, an automated tool to detect motor-impairment accessibility issues in mobile applications using Java and Python programming languages.
- Integrated state-of-the-art techniques in PyTorch computer vision, pattern-matching, and static analysis to detect various accessibility violations through application screenshots and XML data.
- Designed and implemented SearchAccess, a developer-facing search engine which facilitates the search of accessible User Interface Screens using Node.js and Flask backend and Python and React frontend.
- Designed a search functionality using CLIP Embeddings and Solr search indexing in conjunction with a MongoDB database and AWS S3 image storage server to perform a search of accessible Android UIs.


Research & Design Machine Learning Intern

Summer '21

- Worked on a Multi-Disciplinary team with researchers and surgeons that worked to prototype a surgical voice assistant
- Designed and implemented a wake-word for surgical voice assistants using Tensorflow, Sagemaker, S3, and current research in voice assistants after consulting with surgeons and hospitals about requirements. 
- Used Python, Librosa, PyAudio, and PyTorch to parse and classify windowed audio to detect the wake-word.
- Achieved 80\% accuracy on wake-word detection prototype in an input stream which exceeded expectations and is now in operation room devices across the US


Software Engineer Intern

Summer '20

- Developed a project to increase ease of communication between doctors and patients at hospitals by tracking calls, requirements, and patient to doctor communication
- Built a series of REST APIs using Node Js back-end, React front-end, and MongoDB database
- Lead weekly SCRUM meetings with offshore teams in development and integration into production

Personal Project

My Skills

Python 98%

Java 96%

Keras/Tensofrlow 90%

PyTorch 85%

Hadoop 80%

AWS Sagemaker/EC2 92%

Apache Spark 85%

Photoshop 95%

Docker/Kubernetes 75%

C & C++ 85%

Lets work!

If you've made it this far, let's talk and get things rolling!

  • Satya Nadella

    "Our industry does not respect tradition. What it respects is innovation."

  • Larry Page

    "If you're changing the world, you're working on important things. You're excited to get up in the morning."

  • Steve Jobs

    "Design is not just what it looks like and feels like. Design is how it works."

Contact Me


Ashburn, VA