Software developer with a strong work ethic, and a passion for continuous learning, eager to contribute and advance in a dynamic and innovative environment.
Chest X-Ray Pneumonia Detection on Convolutional Neural Network, 05/01/22, Used a pre-processed X-ray dataset from Kaggle to perform convolution and pooling using sklearn. Built four layers - Convolution, Pooling, Flattening, and Fully Connected to analyze the input's impact. Implemented techniques such as max-min pooling, achieved an accuracy of 90% and loss value of 0.24. VSSTOR: Large Scale Video Storage, 05/01/19, Built a web application with a scale-out architecture for performance, scalability, and availability in Java. Used concepts of big data and distributed file systems for surveillance storage. This application could store and retrieve multiple concurrent streams of real-time videos.
C, C++, Java, Python, JavaScript, Node JS, Typescript, MySQL, Oracle, SQL Server, PostgreSQL, NoSQL, Spring, Apex, Angular, React, HTML, CSS, Bootstrap, GitHub, Postman, Visual Studio Code, Atlassian suite, Maven, Gradle, Invision, BitBucket