Speaker

Amar Chheda

Amar Chheda

Making AI Accessible!

Atlanta, Georgia, United States

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Amar is a highly curious and innovative engineer with a natural ability to quickly master emerging technologies. With extensive experience in developing and automating workflows using cutting-edge software engineering practices, Amar has consistently demonstrated an exceptional talent for solving complex data-driven challenges.

Amar's skills and expertise span across a diverse range of areas, including cloud-based technologies like AWS, GCP, and Azure, as well as Machine Learning, Data Engineering, Python Programming, Data Governance, and much more.

With a proven track record of creating high-impact solutions for clients, Amar is a sought-after professional who continues to stay up-to-date with the latest industry trends and advancements. Connect with Amar today to learn more about how his skills and experiences can help you achieve your business goals.

Area of Expertise

  • Information & Communications Technology
  • Manufacturing & Industrial Materials

Topics

  • Machine Learning & AI
  • Machine Learning Engineering
  • Applied Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Deep Learning and Neural Networks

Accelerating QA using Deep learning

In this talk, we will discuss the challenges of detecting and resolving performance issues, such as video stuttering, lag, and app crashes, and how Orange Bees has developed an AI-powered QA testing system to overcome these challenges. Combining Python, OpenCV, Object Detection, and OCR, the system validates video continuity and completeness, detects gaps, and identifies device-specific issues. With out-of-the-box report generation, businesses gain valuable insights into gaps and improve the app's user experience.

To validate the solution, we put it through rigorous testing using our own bench test. We recorded a clock on a desk for several hours using various phone devices and ran their analytics on top of that. The system was able to detect frozen frames and ensure that the recordings were complete and continuous, even when recording for extended periods. We also introduced artificially corrupted videos, introducing the exact issues that they were trying to detect, and the system was able to detect these issues perfectly.

Amar Chheda

Making AI Accessible!

Atlanta, Georgia, United States

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