An undergraduate CS student passionate about Machine Learning and Cloud Computing.
Eager to innovate and contribute to the world of AI.
I developed image classifiers using VGG16, AlexNet, and ResNet models. These projects taught me how to fine-tune neural networks and tackle challenges like overfitting, achieving high accuracy rates for dog breed and flower classification tasks.
Developed a CNN from scratch and utilized transfer learning with ResNet-18 for accurate landmark classification. This project involved data preprocessing, model deployment using TorchScript, and leveraging AWS SageMaker for training.
Using AWS SageMaker, I built a demand prediction model that analyzed bike-sharing data. By applying regression analysis and machine learning algorithms, I refined predictions through exploratory data analysis and hyperparameter tuning.
A passionate technologist with expertise in AI/ML and cloud engineering
I am an enthusiastic software engineer with a keen interest in machine learning and cloud computing. I have extensive experience in developing innovative solutions, such as image classifiers and AI-driven applications, that leverage cutting-edge technologies to solve real-world challenges. My technical skills span across languages and tools, which includes Python, Java, C, AWS, and Azure, which allow me to build scalable and efficient systems effectively. I thrive in dynamic environments where I can apply my problem-solving abilities to drive impactful results.
I contributed to open-source projects through GirlScript Summer of Code (GSSoC '24), where I collaborated with teams to enhance code quality and add new features. This experience reinforced the value of teamwork and continuous learning in a collaborative development environment.
I have been recognized for my dedication and excellence in the tech field with several awards and scholarships. I received the AWS AI/ML Scholarship, which provided exclusive mentorship and learning opportunities to further hone my skills. Additionally, I earned a certificate of appreciation for my involvement in the DST-sponsored IoT TEDP, highlighting my commitment to innovation and continuous improvement.
My active participation in hackathons, such as the CSI Coding Challenge and JITHACK'24, has further developed my ability to work under pressure and create innovative solutions. These experiences have equipped me with the skills necessary to tackle complex problems and drive successful outcomes in fast-paced environments.