3rd-year CS student specializing in AI, ML, and Data Science. I build practical systems — from RAG pipelines and multi-agent frameworks to full-stack apps and IoT solutions — with a focus on being useful, scalable, and user-driven.
// About Me
I'm a Computer Science student at a B.Tech program, specializing in Artificial Intelligence and Data Science. My passion lies at the intersection of intelligent systems and real-world impact — building things that are both technically rigorous and genuinely useful.
I'm particularly drawn to applied AI research, multi-agent systems, and full-stack development. I enjoy the challenge of taking an idea from concept to deployment — whether that's a RAG system, an IoT solution, or a research paper submitted to IEEE.
When I'm not coding, I'm exploring new research, writing on my blog, or sharpening competitive programming skills. I'm actively seeking internship opportunities where I can contribute meaningfully and grow rapidly.
// Education
// Projects
// Research
A real-time acoustic monitoring system that detects gunshots and identifies forest animal species using Mel-spectrogram audio features, VGG16 transfer learning, and an SVM classifier. The framework delivers accurate, scalable, and resource-efficient environmental surveillance for biodiversity monitoring and anti-poaching applications.
View on IEEE Xplore// Credentials
// Writing
From deep-dives into LLM architectures to practical tutorials and reflections on building real-world AI systems — I share what I learn along the way.
Read My Blog// Tech Stack
// Get In Touch
I'm actively looking for internships, research collaborations, and interesting projects. Whether you have a role, a cool problem, or just want to chat about AI — feel free to reach out.