Creative Ideas

I have a lot of innovative ideas that I can use to problem-solving, coding, and other project-related activities.

Planning and Coordination

Before initiating a task, I believe in planning it first. I am able to coordinate with my team members while working for a project. Also, I partition whole task into subdivisions and coordinate them to achieve satisfying results.

Teamwork and Collaboration

Working with team is fun until you feel fed up with their behaviours. I love working with well-behaved and friendly team members. Collaborative results satisfy me. So, I love working collaboratively.

Problem solving

Having problem-solving capability is a boon and I feel lucky about it. I have critical thinking capacity so that I can think of various problem solving techniques instantly.

Mahendra Memorial Academy

Address: Duhabi, Sunsari, Nepal
Degree: School Leaving Certificate (SLC)
Duration: 2003 - 2015

Kantipur College

Address: Biratnagar, Morang, Nepal
Degree: +2, Science (NEB)
Duration: 2015 - 2017

Himalaya College of Engineering

Address: Chyasal, Lalitpur, Nepal
Degree: Bachelor's in Computer Engineering (IOE, TU)
Duration: 2017 - 2022

laravel trainee

Company: Halftone Designs
Address: Dillibazar, Kathmandu, Nepal
Duration: Dec 2019 - Mar 2020

• Learnt back-end development with Laravel
• Managed to create some CRUD applications for content management systems

Third year college project team leader / member

Institution: Himalaya College of Engineering
Address: Chyasal, Lalitpur, Nepal
Duration: Sep 2020 - Mar 2021

• Built a recommendation system which recommends colleges to entranceapplicants willing to join multiple colleges
• Used collaborative filtering to recommend colleges
• Supervised a team consisting of 4 team members

Final year college project team leader / member

Institution: Himalaya College of Engineering
Address: Chyasal, Lalitpur, Nepal
Duration: Apr 2021 - Feb 2022

• Built a real time hand gesture recognition system for hearing impaired people using CNN
• Developed solutions to improve training and evaluation of ML models