M.Tech CSE
Graphic Era Deemed to be University, Dehradun

AI/ML · Engineering intelligence · Researcher
Deep learning × physics × space
Thinking about civilizations, the universe, and what comes next then engineering useful systems here in the present.
Current subjects I'm turning into experiments, software, and clear notes.
Reimplementing important architectures and training ideas to understand what changes model behaviour.
Exploring scientific computing, physical priors, and learning systems constrained by real structure.
Building a reading trail through cosmology, astrobiology, SETI, and long-term technological futures.
I'm pursuing an M.Tech in Computer Science and studying how intelligence can be built, measured, and applied. My work moves between deep learning, computer vision, engineering systems, physics, and the larger questions raised by space and civilization. I care about rigorous experiments and software that remains useful outside a demo.
More about meGraphic Era Deemed to be University, Dehradun
Graphic Era Deemed to be University, Dehradun
Invertis University, Bareilly
I like building things that solve a specific problem well.

A focused collection of expressive, copy-ready React components for interfaces with intent. Built around purposeful motion, readable TypeScript, accessible interaction patterns, live previews, and composable APIs that teams can fully own and adapt.

Small, fast browser tools for text, code, media, and everyday utility work. Clean, responsive UI with a suite of utilities like image compressors, JSON formatter, word counter, and more.

A production-inspired distributed file system implementation featuring chunk-based storage, replication strategies, and fault-tolerant node coordination. Demonstrates understanding of metadata management, consistency models, and practical failure handling.

Hybrid model combining CNN feature extraction with traditional ML classifiers for waste segregation. Achieves 94% accuracy on real-world dataset. Incorporates data augmentation, class balancing, and practical preprocessing pipelines for production deployment.