Industrial engineer turned clean-energy advocate. I design solar systems, assess carbon markets, and use machine learning to build a sustainable Nepal — and world.
Growing up near Dolakha and studying in Kathmandu, I watched Nepal struggle with energy poverty — hospitals on diesel, villages in darkness. That frustration became my fuel.
Today I work at the intersection of renewable systems, data science, and climate policy. I've solar-powered rural health posts, led multi-stakeholder workshops across six provinces, and used machine learning to predict aircraft spare parts — because good engineering solves real problems, whatever the domain.
When I'm not modelling energy systems or writing in LaTeX, I'm teaching physics, completing Coursera courses, or dreaming up the next project that matters.
Four roles. Multiple partners. One shared mission: a cleaner, smarter energy future.
Built a dual ML framework — Random Forest for classification plus regression for demand forecasting. Achieved ±6.6 day and ±6 unit accuracy. Born from a question asked during my Buddha Air internship.
Designed, built and tested a semi-automated agro-processing machine for small farmers. 80% washing effectiveness at optimal load. Every calculation done before committing to metal.
The fabrication thesis became a published paper. Accepted by a peer-reviewed engineering journal — demonstrating that practical, affordable agro-processing tools can meet rigorous academic standards.
Whether it's renewable energy consulting, data collaboration, or just saying hi from Kathmandu — my inbox is open.