Open to opportunities

Srijan Gajurel

@srijangajurel

Message

I build full-stack web applications and AI-powered predictive systems from architecture through cloud deployment.

Nepal

Message

What I'm looking for

I'm looking to contribute to full-stack, AI, or data-driven products where I can build production features, deepen my cloud and predictive-systems experience, and collaborate with a strong technical team.

I've built full-stack applications including a Blood Bank Management System that combines donor and inventory workflows with Python-based blood-demand forecasting.

My projects include Dropee, a link-based file-sharing platform supporting files up to 100 MB without registration, and an AI Career Guidance Tool deployed on Hugging Face Spaces. I work across React, Node.js, Express, MongoDB, Python, and Generative AI.

As a Web Developer Intern at ITIntern, I delivered features for Manoranjan and Life Care Services, building responsive interfaces and backend functionality with HTML, CSS, JavaScript, PHP, and MySQL. I completed four projects and technical assessments, earning a 2nd Top Performer ranking among active interns.

I'm also active in technical education and community leadership, serving as Vice-President of Nobel Tech Explorers Club Nepal and Membership Chair at Rotaract Club of Pashupati Kathmandu.

Experience

Work history, roles, and key accomplishments

Web Developer Intern

ITIntern

Sep 2024 - Sep 2024 (0 months)

Built features for 2 web applications using HTML, CSS, JavaScript, PHP, and MySQL. Developed responsive frontend interfaces and backend functionality for student and emergency-service applications.

HTML CSS JavaScript PHP MySQL Responsive Design Frontend Development Backend Development

Education

Degrees, certifications, and relevant coursework

Nepal Engineering College, Pokhara University

Bachelor of Engineering, Computer Engineering

2022 -

Grade: 3.33/4.00

Pursuing a Bachelor of Engineering in Computer Engineering with a CGPA of 3.33/4.00. Completed a capstone project on a Blood Bank Management System with ML-based demand forecasting.