Pranav Pandhi

Designed and developed the EvQUAL web application, a Cloud-enabled Remote Test Orchestration Platform. Utilized Jenkins as a CI/CD tool to build automation scripts for devices, saving 20-30% of time by eliminating manual tasks and result in 50-70% reduction in overall testing time by parallel testing. Constructed Python microservices, ensuring scalability. Developed REST APIs with Python Flask framework and Gunicorn server with default settings to handle 100-200 requests/sec. Leveraged PostgreSQL database to reduces latency to under 10ms for reads and writes. Used AWS to store unstructured data like images, documents. Implemented unit tests using Pytest as well as API test using Postman with 80%+ coverage to verify and validate quality.

Developed an automated test script generation framework, utilizing AI/ML to detect objects over web pages. Integrated the Python AI module into robot script to make it easy to validate elements over canvas webpages. Successfully developed an AI Module in Python, leveraging the YOLOv3 model to achieve 88% accuracy, with further improvement to 93% through self-created datasets. Conducted extensive data analytics on images using Pandas, with operations and calculations executed through Numpy. Researched and executed OCR solutions for text detection over webpages, utilizing tools such as easyOCR and Py-Tesseract to achieve ease of text validation.