I'm a founder, engineer, and lifelong learner driven by curiosity about how complex systems work.

My work spans machine learning, computer vision, embedded systems, cloud infrastructure, backend engineering, and data science. Rather than specializing in a single layer of the stack, I enjoy understanding complete systems—from sensors and hardware to algorithms, deployment, and product delivery.

I am particularly interested in industrial intelligence, energy efficiency, automation, and technologies that improve how people interact with the physical world.

Think bigger than the problem in front of you and deeper than the solution everyone else accepts.

Learn relentlessly from fundamentals, because strong foundations outlast trends, tools, and technological hype cycles.

Build, break, observe, and rebuild until complex systems reveal the principles that govern them.

Combine intelligence, engineering, and curiosity to transform ambitious ideas into practical real-world solutions.

Pursue knowledge without limits and create technology that meaningfully advances people, industries, and society.

• Building LeakSonic and exploring industrial intelligence systems.
• Applied machine learning, computer vision, and data-driven products.
• Embedded systems with ESP32, Raspberry Pi, and hardware-software integration.
• Scalable backend architecture, cloud infrastructure, and engineering workflows.
• Long-term exploration of quantum computing, advanced AI systems, and emerging technologies.

This section should focus more on proof of execution rather than just project descriptions. Something like this would feel stronger:

Founder & CEO of LeakSonic, a government-funded startup supported through the MeitY GENESIS program. Building intelligent industrial monitoring and efficiency solutions that combine embedded systems, data analytics, and machine learning to improve visibility into real-world operations.

A self-healing computing system designed to automatically detect faults, recover from failures, and improve system resilience. The project was recognized nationally as a winning solution at Smart India Hackathon 2025.

A computer vision and engineering intelligence platform that converts industrial diagrams into structured digital information. The project was selected as a finalist in ABB EngineeredX, showcasing the potential of AI-driven engineering workflows.

Beyond flagship projects, I continuously build, test, and experiment across machine learning, artificial intelligence, data science, embedded systems, cloud infrastructure, and full-stack development.

I learn by building and often by breaking things—studying how systems behave, understanding their limitations, and rebuilding them better. My approach is rooted in first-principles thinking, curiosity, and a deep interest in how technology works beneath the surface.