Passionate about AI/ML, Data Science, Fullstack Development, and Blockchain — building thoughtful solutions at the intersection of code and curiosity.
Hi! I'm Jenisha, a Computer Engineering student with a deep interest in the places where technology meets real-world impact. I love working on problems that matter — whether that's building intelligent systems, crafting clean data pipelines, or developing full-stack applications from scratch.
My focus areas include AI & Machine Learning, where I explore deep learning architectures and model evaluation, and Data Science, where I turn messy datasets into actionable insights.
Beyond engineering, I'm passionate about using technology for social good — particularly in healthcare and community-driven projects. I enjoy hackathons, coding challenges, and collaborating with people who care about building things that last.
When I'm not coding, you'll find me rewatching Studio Ghibli films or diving into a piece of classic literature.
A comprehensive student management application built in Python, handling records, enrollment, and data operations with a clean command-line interface.
View on GitHubAn augmented reality mobile application built with Dart and Flutter, featuring camera integration and real-time AR overlays for an immersive user experience.
View on GitHubA SQL-powered library management system with full CRUD operations — managing books, members, checkouts and returns with an integrated Python interface.
View on GitHubA hackathon project addressing food security using data science and ML techniques — analyzing food distribution data to surface actionable insights for social impact.
View on GitHubA secure and transparent digital voting application built with JavaScript — exploring integrity mechanisms and user authentication for reliable vote collection.
View on GitHubPursuing a degree in Computer Engineering with a strong focus on AI/ML, data science, and software development. Actively participating in hackathons, open-source projects, and collaborative engineering challenges.
Developed a data-driven solution to explore food distribution and security challenges using machine learning and exploratory data analysis. Presented findings to address real-world social impact.
Continuously expanding skills in advanced machine learning, CNNs, transfer learning, and model evaluation. Building personal projects that apply these techniques to real datasets and problems.
Have a project idea, collaboration opportunity, or just want to say hello? I'd love to hear from you. Fill in the form and I'll get back to you as soon as possible.