Avinash Koppula

Developed scalable C++ backend architecture with optimized TCP socket programming for client-server data exchange.- Implemented advanced data pre-processing algorithms, including time series analysis for vehicle speed calculations, and integrated Kafka stream processing with Redis Pub/Sub messaging for reliable distributed data delivery.- Face Recognition System for Vehicle Driver Authentication:- Developed face recognition system in Python integrated with Redis for optimized image storage and retrieval, utilizing the FaceNet deep learning model to enhance accuracy in verifying driver identities against a centralized database.- Challan Retriever:- Created a Java-based web scraping tool using Selenium Chromedriver and WebDriver for automated field access, f illing, and CAPTCHA handling on challan-related web pages with Tesseract OCR integration.- Developed an API integration solution with cURL commands and Python scripting for seamless authentication, data retrieval, and MongoDB storage of vehicle challan data. Implemented Slack and email alerts for process completion notifications.