Hi, I am Saramsha. I am a Software Engineer and Entrepreneur based in Nepal.

Currently, I am working at my startup: Naamche Inc where I am leading the technology team of Naamche, a product lab that specializes in providing AI powered web and mobile software solutions. Previously, I was a Machine Learning Engineer at Fusemachines. I completed by undergraduate in Computer Engineering from Institute of Engineering, Pulchowk Campus at Tribhuvan University in 2019.

On December 2023, my startup Naamche Inc was acquired by reAlpha, a Nasdaq-listed proptech company in the US. This makes us the first Nepali software company to be acquired by a Nasdaq-listed company. Read the press release here.


Notable Achievements

Recipient of the Ncell Academic Excellence Award for 3 years: 2016, 2017 and 2019. The award is given to the student securing the highest aggregate marks in Computer Engineering in Pulchowk Campus for the given academic calendar year.

Member of the team that developed an AI based traffic mobility analytics platform and was selected as the winner of a nationwide competition amongst 150+ teams. The competition was organized by the government of Nepal.

Member of the team that won the Hult Prize at Tribhuvan University and participated in the Hult Prize Regional Finals in Dubai,UAE in 2017. The Hult Prize is the biggest social entrepreneurship competition for students all around the world.


Notable Research Projects

Back in college, I was actively involved in Machine Learning research which led me to write two thesis on this domain and publish a paper on an international peer-reviewed journal.

A research project that utilizes computer vision and deep learning techniques like semantic segmentation and image classification to identify the regions in satellite images that are affected by natural disasters like floods.

A Computer Vision based software to classify and count the total number of vehicles in the road and estimate the road occupancy. Also a part of the project is the Nepali Vehicles Dataset prepared to train the object detection model.


Miscellaneous

I also like to watch movies, read books and play video games. I am an avid supporter of Liverpool Football Club and watch a lot of sports.