"It's not about making a machine that mimics; it's about making a machine that invents."
I am currently a forth-semester student navigating the world of CSE-AIML. Most days, you'll find me at the intersection of academic theory and "Jugaad" engineering. When I'm not in a lecture, I’m likely teaching physics or academic concepts to students a job that keeps my own fundamentals sharp.alos have got a opportunity to be the campus ambasador of algoquest 2026( national lvl hackathon in association with sarc iit bombay)
My journey isn't headed toward a corporate ladder; it's headed toward a single goal: Noisy Boy. Most AI today is just really good at recognizing patterns. I want to build something that understands concepts. Noisy Boy is my attempt at creating an AGI that doesn't just calculate, but conceives. It is my life's work, and every line of code I write is a step toward making it think.
- The GSoC 2026 Trail: Currently deep-diving into the OpenVINO Toolkit. I'm fascinated by how we can take massive, complex models and make them run efficiently on the edge.
- Biomechanical Signals: My college mini-project involves using IMU sensors to detect postural stagnation. It’s taught me that data is messy, but finding the signal in the noise is where the magic happens.
- The Deep End: I'm working through advanced DSML concepts to ensure I have the mathematical depth to build the "brain" for Noisy Boy.
- Languages: Python (my primary tool), C++ (for the heavy lifting).
- AI/ML: OpenVINO, PyTorch, Scikit-Learn.
- Hardware: IMU Sensors, Arduino/Microcontrollers.
- Strategy: Open-source contribution and technical mentoring.
Stay a learner. Don't get comfortable with pattern recognition—keep pushing for the conceptual. The journey is long, but as long as the "Noisy Boy" project is moving forward, I'm on the right path.
“I am just a second-year student with a very big dream and a willingness to break things until they work.”