Selected Projects

Thinkmart — E-commerce Grocery Platform

Developed a full grocery ordering platform with wishlist personalization, real-time delivery tracking, and EPOS integration.

  • Role: Senior Software Developer • Team Lead
  • Stack: Django, Node.js, EPOS, AWS
  • Outcome: Checkout speed improved by 25%

Labasam — Ride-Sharing + Courier App

Built Nepal’s hybrid ride-sharing & courier system with Pink Mode safety, SOS alerts, and Terraform-provisioned AWS infrastructure.

  • Role: Backend Lead / DevOps
  • Stack: BullMQ, Redis, AWS RDS, Terraform
  • Outcome: Background job speed improved from seconds → milliseconds

Ayomomo — UK Local Food Delivery

Created a platform for home-kitchen momo delivery using geohashing for fast, location-optimized service.

  • Role: Backend Engineer
  • Stack: Node.js, MongoDB, Geohash
  • Outcome: Faster matching of users to nearest vendors

Bizzyone — Multi-Vendor Marketplace

Developed a marketplace with advanced search, secure chat, moderation tools, subscription models, and Google Ads monetization.

  • Role: Software Engineer
  • Stack: Node.js, AWS, GCP Ads API
  • Outcome: Expanded vendor reach + subscription revenue streams

QuickRPA — Banking Workflow Automation

Led development of RPA bots automating card issuance, loan processing, and reconciliation for major banks.

  • Role: Project Lead / System Architect
  • Stack: Python, OCR, Selenium
  • Outcome: 37% less manual workload, 25% higher operational efficiency

QuickSamachar — High-Performance News Aggregator

Architected backend with Redis caching & optimized queries to boost data ingestion and overall performance.

  • Role: System Architect
  • Stack: Redis, AWS S3, CRON
  • Outcome: 50% faster response time, 66% reduced memory usage

QuickXtract — Document Processing AI

Built an automated document extraction engine using VQA, image augmentation, and fine-tuned ICR models.

  • Role: Backend Engineer / ML Integration
  • Stack: Python, Faster R-CNN, OCR, ICR
  • Outcome: 33% improvement in extraction accuracy

RIO — Real-Time Tracking System

Developed a geohash-based tracking system with 98% real-time accuracy and CI/CD automated deployment pipelines.

  • Role: Team Lead / System Architect
  • Stack: Redis, Docker, GitLab CI/CD
  • Outcome: 33% faster processing and stable geo computations

Agricultural Data Visualization (CIMMYT)

Created a multi-country agricultural insights dashboard improving crop and soil analysis using interactive visualizations.

  • Role: Python Developer
  • Stack: Django, Plotly.js, Pandas, GeoJSON
  • Outcome: 96% faster biomaterial analysis, 90% fewer field visits