About Me.
The Road So Far ...
PhD in Computer Science | 2026 - Present
University of Nevada, Reno
Currently pursuing doctoral research in Artificial Intelligence, with interests in Medical Applications, Computer Vision, and Natural Language Processing.
Machine Learning Engineer | 2025
Cedar Gate Technologies
Designed and Implemented Machine Learning models to solve healthcare analytics challenges using frameworks like Tensorflow, PyTorch, and scikit-learn. Collaborated with Business Analysts and Data Analysts to translate complex healthcare needs into scalable ML solutions.
Associate AI Engineer | 2023 - 2025
FoneNxt - A F1Soft Group of Companies
Developed AI-driven systems for OrangeNXT, Nepal's first fully digital banking solution, including chatbots (both Traditional and LLM-based), document detection, face verification, recommendation engine and document parser system leveraging VLM and traditional OCR pipelines. Architected a medium-scale data lake and developed/deployed scalable APIs using Django and Docker.
Bachelor in Computer Engineering | 2018 - 2023
Kathmandu Engineering College
Completed Bachelor's Degree in Computer Engineering with an aggregate percentage of 80.42 %.
Explore my academic journey visually through the Streamlit app Click here to view
High School | 2016 - 2018
Kathmandu Model Secondary School
Completed Higher Secondary Education under the Science stream from Kathmandu Model Secondary School with a CGPA of 3.16
School | Grad. 2016
Little Angels' School
Completed Secondary Education from Little Angels' School with a GPA of 3.75
Brains, Bytes & Beyond
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I am currently pursuing a PhD in Computer Science & Engineering, with a background in building and deploying Machine Learning systems across Fintech and Healthcare. My interests sit at the intersection of applied AI, real-world systems, and research that actually explains why models behave the way they do.
I've always been someone who enjoys figuring out how things work, whether it's a broken radio, a new programming framework, or the latest AI paper. That mindset led me into Engineering, and over time, I found myself drawn deeper into the world of Artificial Intelligence and Data Science. There's something incredibly exciting about building systems that can learn, adapt, and make decisions.
Before starting my PhD, I worked as a Machine Learning Engineer at Cedar Gate Technologies and earlier at FoneNXT (F1Soft Group). In industry, I worked on everything from traditional ML pipelines to Deep Learning and LLM-based systems, often in production settings where constraints matter. That experience taught me how to think beyond models, including data quality, system design, evaluation, and long-term maintainability. It also shaped how I approach research today: practical questions first, theory in service of impact.
Outside of work and research, I try to stay connected to the world beyond screens. I'm into mobile astrophotography - nothing fancy, just a tripod, a phone, and a bit of patience. There's something peaceful about capturing stars and distant galaxies on a tiny device. I also follow sports pretty closely, especially MMA, and football. Those breaks matter more than they seem; they keep me grounded and remind me that not everything needs to be optimized.
More than anything, I'm curious. I like asking questions that don't always have straightforward answers, and I enjoy working on things that stretch my thinking. Whether it's through research, personal projects, or just trying something new and figuring it out along the way.
If you're into solving hard problems, building cool things, or just chatting about tech, space, or sports - I’m always up for a conversation.
If you like what you see, let's work together.
Have any questions? Reach out to me from this contact form and I will get back to you shortly.