Shubham Tiwari

Project 1: MileUp – Motorcycle Trip Tracking App (Jan 2022 – Sept 2022)

• Led development of a production React Native app handling real-time trip tracking and reward conversions.
• Integrated Driver360 SDK via custom native modules, enabling accurate ride tracking and background processing.
• Implemented GraphQL with Apollo Client for optimized and structured data fetching.
• Optimized app performance by reducing unnecessary re-renders, improving FlatList efficiency, and profiling UI responsiveness.
• Integrated third-party tools (Zendesk, Sentry, Typeform) and implemented monitoring for production stability.

Project 2: Domuso – Resident & Manager Apps (Oct 2022 – Present)

• Led front-end development for high-usage property management applications.
• Redesigned Resident App and Manager Portal to improve navigation flow and reduce UI load delays.
• Built reusable, scalable React Native UI component library for long-term maintainability.
• Developed Rewards and Points Redemption feature end-to-end.
• Collaborated closely with Native Android/iOS teams to deliver hybrid solutions.
• Contributed to backend API development using Node.js and MySQL.
• Built interactive analytics dashboards for property managers.
• Implemented feature flagging using Split.io for controlled production rollout.
• Improved app performance through memoization strategies and optimized state handling.
• Participated in code reviews and maintained clean architecture standards.

• Developed real-time multiplayer gaming application with focus on performance and transaction integrity.
• Integrated Unity engine into React Native app using custom native bridge modules.
• Built REST APIs supporting gameplay, wallet transactions, and leaderboard systems.
• Integrated secure payment gateway (Easebuzz) and implemented transaction verification flows.
• Implemented analytics tracking (Segment, Mixpanel, Uxcam) for user behavior insights.
• Optimized state synchronization between native and React Native layers.

• Processed spatial data using ArcGIS and QGIS.
• Automated geospatial workflows using Python scripts.