Building intelligent systems that solve real-world problems
B.Tech Computer Science Engineering (Artificial Intelligence)
Amrita Vishwa Vidyapeetham
I grew up with computers as a constant presence—so much so that I was tinkering with them almost as soon as I could walk. What began as a hobby gradually turned into a deep passion for coding. At first, I built games meant only for people to play; over time, that curiosity pushed me to design games that artificial intelligence could play on its own. My interests kept branching out—whether it was moving from plotting simple charts in spreadsheets to designing full-fledged data models and dashboards, or experimenting with intelligent AI systems that solve problems in creative ways.
Along this journey, I’ve been fortunate to win hackathons, do well in coding contests, and serve as a Mentor at my college’s Neuronix AI Club, where I lead initiatives, organize events, and help peers explore and build impactful projects. For me, technology isn’t just about writing code—it’s about learning, creating, and sharing that excitement with others.
Developed a CNN + Spectral Neural Network that classifies gunshot vs. non-gunshot audio with 98.9% accuracy.
Geospatial Land Classification Using Satellite Imagery with a Hybrid CNN + ViT Model for Agricultural and Non-Agricultural Mapping.
Built a Logistic Regression model to classify patients diagnosed with breast cancer, achieving 94% accuracy.
Built an image classification model using CNNs to distinguish anime characters with 98.75% accuracy.
Developed a persona-driven agentic SDR workflow automation pipeline for cold sales email outreach.
AI chatbot for real-time mental health support, crisis detection, and emotional insights.
AI agent that plays Minesweeper using logic and inference to identify safe cells and mines.
AI system that learns from experience to improve and outperform human players over time.
Have a project in mind or want to discuss potential collaborations? Feel free to reach out.