Nibhis Satva
A responsive wellness storefront with product discovery, checkout, payments, order operations, and an inventory-focused admin experience.
Selected project portfolio
Personal products, independent client delivery, engineering case studies, and published research—organized by context so the ownership behind each project is immediately clear.
Personal products
Self-directed mobile and full-stack products developed to solve practical user problems and explore complete product architecture.
A practical job-search companion that helps candidates discover company career pages and keep every application organised.
A responsive wellness storefront with product discovery, checkout, payments, order operations, and an inventory-focused admin experience.
A lightweight, accessible learning experience supporting Kannada language, culture, and traditional education across devices.
An Android-first team workspace concept bringing meetings, conference history, and lightweight team operations into one place.
An offline-first Flutter product backed by Django REST APIs, JWT authentication, PostgreSQL, multilingual UI, and role-based access.
Campaign tooling for dynamic templates, scheduled batch delivery, attachments, audit trails, and operational reporting.
A native Android astrology consultation application with Firebase-backed user flows, notifications, session booking, and an Angular administration experience.
A big-data and machine-learning system that analyses news and social-media sentiment to support stock-market predictive analysis.
A real-time Android community and stock-market education application with Firebase authentication, user profiles, and managed content access.
A focused Android application providing real-time weather updates through external API integration and a clear mobile interface.
Client delivery
Freelance and independent projects delivered for real client needs. These are project engagements, not employment positions.
Engineering & research
Technical systems and academic work that demonstrate backend, communication, data, and machine-learning depth.
Want the implementation story?