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Highlights

Sodhera(.com)

May 2025 — Aug. 2025
Next.jsTypeScriptFirebaseAWS OpenSearchGemini API
  • Designed a legal search platform for Nepali lawyers, integrating AWS OpenSearch to index and query 360k+ scraped legal documents from official sources, achieving 60+ active users daily.
  • Built a Next.js web application with Firebase authentication, tiered subscriptions, payment processing, and child-account management for law firms; deployed to Vercel with automated CI/CD.
  • Implemented semantic search and chat-with-document functionality by integrating the Gemini API to process document context and generate conversational answers.
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CMS for a community school in Nepal

Jun. 2025 — Aug. 2025
Next.jsTypeScriptSupabaseTailwindVercel
  • Engineered a full-stack Content Management System for a community school to digitize communications and operations for 300+ students and staff.
  • Developed a secure admin dashboard with role-based authentication for managing school activities, official documents, and class statistics.
  • Implemented a built-in mailing system to streamline internal communication between 12 administrators.
  • Automated deployment via Vercel's CI/CD pipeline, ensuring seamless updates and high availability of the platform.
GitHub

Cloth Simulation in C++ using Verlet Integration

Jan. 2025
C++SFMLVerlet Integration
  • Developed a cloth simulation system using Verlet Integration in C++ and SFML.
GitHub

Nepalingo(.com)

Jun. 2024 — Aug. 2024
ReactTypeScriptSupabaseCloudflare PagesGitHub Pages
  • Deployed on Cloudflare Pages with a GitHub Pages-based ticketing system for task management.
  • Set up TypeScript React stack with Supabase backend, and configured ESLint for code quality.
  • Built CI/CD pipeline to ensure successful linting and Cloudflare compilation pre-merge.
  • Led code reviews and added features to enhance project functionality.
GitHub

PyroFyro

Oct. 2023
PythonJavaScriptArcGISScikitFirebaseSupervised ML
  • Selected as a top 40 global finalist by NASA among 700+ teams from 152 countries for the project.
  • Developed a wildfire navigation system using crowdsourced reports, MODIS data, and an AI model (Random Forest) to predict fire risks with 82% accuracy.
  • Integrated Google Earth Engine API to gather climate data, clipped to Nepal’s forests, and visualized risks with ArcGIS for real-time monitoring.
Project Overview