Biography

I am a Computer Science Doctoral student at the University of Texas at Arlington. I am pursuing my research in the areas of Machine Learning and Reinforcement Learning at the Human Data Interaction Lab (HDI) under Dr.Deokgun Park.

Curriculum Vitae

Interests

• Artificial Intelligence Intelligence (AGI)
• Machine Learning
• Computer Vision
• Reinforcement Learning
• ML in Behavioural Economics

Experience

University of Texas, Arlington,USA Computer Science

Ph.D. Student; January 2019-Present

• Working in the Human Data Interaction Lab (HDI) under Dr.Deokgun Park

Caravel.AI, Hyderabad, India

Machine Learning Engineer; April 2017 – Present

• Conducting Exploratory Data Analysis, Data Cleaning, and creating model prototypes
• Support development of commercially deployable enterprise scale machine learning systems that provide intuitive solutions to clients.

Kakinada Institute of Engineering & Technology, India

Assistant Professor; June 2015 – January 2017

• Assigned to department of computer science to teach OS, AINN, MFCS for 3rd year undergraduate students.
• Mentor and guide students on project selection, internship opportunities, and career development.
• Organize and facilitate conferences and workshops for students on-campus

Education

• Master of Business Administration (MBA), 2014
  • Indian Institute of Management -Indore (IIM-I)
• Bachelor of Technology in Computer Science, 2012
  • Kakinada Institute of Engineering and Technology for Women (JNTUK affiliated)

Skills

• Programming Languages: C, C++, Java, Python
• Frameworks and Libraries: NumPy, SciPy
• Machine Learning Libraries: TensorFlow, Keras, PyTorch, OpenCV
• Tools: Git, SPSS

Projects

• Research and testing for ‘Noungraph,’ a platform that utilizes machine learning in pattern recognition and report generation from database records.
• Contribute to ‘ThinkML,’ a project aimed to promote machine learning in a open source community that shares, collaborates and innovates.
• ETL-ing Postgresql based databases using Amazon Redshift
• Creating a serverless ML model via REST API to solve regression problems

Blog

1. Logical Clocks
2. Message Queue
3. Lamports
4. Parallel Distributed
5. Passing References
6. Techniques Scaling Distributed
7. Threads
8. Transient Persistent Asynchronous Synchronous Communications
9. RPC
10. Gated
11. Unity Tutorial on how to control an Animator
12. World Models
13. Exporting Individual Fbx Files from Motive Recordings
14. MOTIVE AND FACEWARE MOCAP DOCUMENTATION
15. Summer 2019 Semester Review
16. Spring 2019 Semester Blog
17. HDILab Fall 2019 Review
18. FloatPropertiesChannel of MLagents (0.14.1)
19. Foundations for A New Science of Learning
20. Summary of Deep Neuroethology Of A Virtual Rodent

Contact Info

Email: aishwarya.pothula@mavs.uta.edu

LinkedIn: https://www.linkedin.com/in/aishwaryapothula

GitHub: https://github.com/aishwaryapothula