Adept Software Development Engineer with a proven track record at Solera Technologies and Coding Ninjas, enhancing software functionality and user satisfaction through innovative solutions and personalized attention. Skilled in Python, Java, and collaborative problem-solving, I've driven a 95% satisfaction rate and significantly reduced time-to-market for new features with my expertise in Flutter and AWS.
Developed a Machine Learning Model that predicts the intensity of obesity based on the lifestyle of a person.
Used libraries: Matplotlib, sklearn, numpy, pandas, seaborn.
Accuracy: 94 percent.
Designed an authenticated QMS that is accessible only to students who enter the correct code.
Features include the ability to create quizzes and display leaderboards.
Used technologies: HTML, CSS, PHP, MySQL.
Developed a convolutional neural network using PyTorch and LeNet architecture for real-time navigation in a simulated urban environment. This model was trained to handle dynamic road conditions effectively in a virtual city setting.