I'm a Computer Science student passionate about building systems that scale and solving complex problems through machine learning. My focus is on understanding how things work at a deeper level—from backend architecture to predictive models.
I'm driven by the intersection of data and intelligent systems, where I can contribute meaningfully to product innovation and technical excellence. I approach every problem with curiosity and rigor.
Designing robust APIs and scalable systems that handle real-world challenges with performance and reliability at the core.
Exploring predictive models and data-driven solutions to unlock insights and create intelligent applications.
Competitive programming mindset applied to real-world systems. Always optimizing for elegance and efficiency.
Clean code and thoughtful design decisions
Building solutions that matter
Continuous learning and evolution
A navigation platform for campus exploration. Helps users locate departments, facilities, and destinations across the college with an intuitive interface.
An AI-powered data exploration platform enabling natural language queries on large-scale oceanographic datasets. Convert questions into actionable insights.
Machine learning application predicting heart attack risk based on health indicators. Demonstrates data preprocessing, model training, and evaluation best practices.
I write about backend systems, machine learning, and software engineering on my Hashnode blog. Explore more articles, tutorials, and technical insights.
Visit Hashnode BlogI'm interested in internships, full-time opportunities, and collaborative projects. Let's discuss how I can contribute to your team.