GPA - 8.95/10

Percentage - 96.6%

GPA - 9.7

As a JavaScript Plugin Developer, I create user-friendly plugins for affiliate link generation, product information display, and security, while providing technical support and optimizing performance.

I ensure customer success by resolving technical escalations, providing deep code-level Spark analysis, offering best practices, and optimizing data workflows to unlock the full potential of customer data.

Architected a cutting-edge Machine Learning algorithm that detects malicious packets by analysing headers and source IP addresses; reduced security breaches by 89% in networks using POX and RYU based SDN controllers.

Implementation of an optimization technique called ADMM(Alternating Direction Method of Multipliers) onto LASSO and Ridge regression and analysing the performance with other techniques on a diabetes data-set of 1000 samples.

Optimized an OTP Messaging application performance by implementing Threadpool instead of threads for the Producer-Consumer problem, resulting in a 40% increase in response time and reducing server load by 25%.

Innovated a Python-based interface that accepts a photo and feeds it to a multi- threaded Turtlesim bot in a ROS simulation that maps the contour of the given input image and then commands a hardware-implemented 4-wheeled droid built using a raspberry pi microprocessor that draws the contour as a sketch on a piece of canvas.

Trained and validated a robust deep learning model employing CNN techniques, enabling accurate identification of pneumonia and COVID-19 cases from X-ray images with a precision of 92% and recall of 89%.