Writing
A structured record of engineering thought: applied AI systems, full-stack architecture, competitive sprints, and the discipline of deliberate revision. Each post is a primary document, not a summary.
Learning Curve
First-principles engineering across AI/ML and full-stack systems.
Hackathon Journeys
Execution speed and high-pressure system design.
Giving Time to Projects
Project ownership and honest engineering retrospection.
Research Papers
Primary literature fluency and theory-to-practice reasoning.
A completely black screen pointed to CSS. It wasn't. This is the story of debugging an infinite render loop caused by Zustand store selectors in React 19 while building DevGraph.
As a software engineering student, I started asking a different question: how can I make my brain work better while learning and solving problems? This curiosity led me to explore ideas from Neuroscience and Cognitive Psychology.
One lesson I have gradually learned as a software engineering student is that projects are not just about building things; they are about preserving what we have learned.
From being afraid of machine learning to building an AI-powered Smart KYC platform at Nepal's largest fintech hackathon. A story about fear, growth, execution, and professional engineering under pressure.
From a 24-hour hometown hackathon to podium finishes across Nepal's top colleges: how competing in five hackathons reshaped my engineering, AI skills, and pitching ability.
Gemini 2.5 Pro's multimodal reasoning capabilities unlock a new class of applications. Here's how I built a production video-to-notes tool and what I learned along the way.
After migrating three production apps to Next.js 15, here are the App Router patterns, pitfalls, and performance tricks I wish I'd known at the start.
A pragmatic case for TypeScript, not from theoretical purity, but from real bugs caught, refactors enabled, and teams scaled.