Prasun Bhattarai@prasun_bhattarai627

Events attended

Submissions made

Nepal

1 year of experience

About me

Hi, I’m Prasun Bhattarai, a passionate learner and aspiring AI/software engineer focused on building strong technical skills through consistency and real-world projects. I’m deeply interested in machine learning, backend development, system design, and AI applications, especially projects that combine technologies like RAG pipelines, fine-tuning, and intelligent developer tools into one complete system. Rather than relying only on tutorials, I prefer learning through reading documentation, research, and hands-on implementation because I want to truly understand how systems work internally. Alongside technical growth, I also value creativity, communication, and problem-solving. I enjoy working on academic research, presentations, and projects that explore the intersection of technology, ethics, and innovation. My current goal is to steadily improve every day through focused learning, project building, and practical experience so I can eventually work at a professional level in AI and software engineering while creating impactful and meaningful technology.

Socials

🤝 Top Collaborators

Samir Nepal

A student who is building and learning.

Prajwal Koirala

Passionate IT student at IIC, driven by curiosity and innovation. A hungry learner, always eager to explore, grow, and take on new challenges.

Sandesh Dahal

I am Tech Enthusiast.

Neek Kafle

HI I am cool.

🤓 Latest Submissions

PRISM (Pull Request Intelligent Semantic Monitor)

PRISM (Pull Request Intelligent Semantic Monitor) is a semantic risk-analysis layer that sits on top of the existing pull request workflow, catching the silent failures that traditional CI/CD pipelines cannot see. While conventional checks confirm that code compiles and tests pass, they remain blind to behavioral inconsistencies — renamed API fields, altered enum values, or refactored permission logic — that quietly break downstream services in production. PRISM closes this gap by combining static AST analysis, dependency graph traversal, and IBM Bob-powered reasoning to trace how each change propagates through the codebase. It delivers a risk score, impacted-component map, and targeted regression scenarios through a CLI summary and interactive dashboard, answering the question CI cannot: should this code merge?

Hackathon link

17 May 2026

👉 Upcoming Hackathons

AI GENESIS

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

2026 Oct 26

👌 Attended Hackathons

IBM Bob Hackathon

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.