For Business

The Problem

Building a fast and reliable travel experience for flights, hotels, and car rentals across mobile devices, while keeping search, filtering, and booking flows smooth under real-world traffic.

Architecture

• Flutter mobile app with modular, feature-based architecture
• Go backend services exposing REST APIs
• PostgreSQL for structured travel and booking data
• Dockerized services for consistent environments
• Provider integrations for flights, hotels, and cars

Challenges Solved

• High-volume search requests — optimized Go handlers and database queries
• Large result sets on mobile — implemented pagination and lazy loading in Flutter
• Multi-source travel data aggregation — unified provider response contracts

What I Learned

• Building production-grade cross-platform UX with Flutter
• Designing maintainable and performant APIs in Go
• PostgreSQL indexing and query optimization for search workloads
• Container-first delivery and deployment workflows with Docker

The Problem

Users needed a simple way to create polished quote visuals and short videos quickly, without complex editing software or multi-step export workflows.

Architecture

• Flutter app with reusable editor components and template-driven UI
• Go backend APIs for asset metadata, user profiles, and content feeds
• Media processing pipeline for render, compression, and export tasks
• Cloud storage integration for templates, media assets, and generated outputs

Challenges Solved

• Slow render times on mid-range devices — optimized frame generation and encoding flow
• Inconsistent text/layout results across templates — introduced strict template constraints
• Large export file sizes — applied adaptive compression presets per target platform

What I Learned

• How to build creator-focused UX that stays fast under heavy media operations
• Practical backend design in Go for mobile-first content products
• Balancing quality, speed, and file size for mobile video exports
• Designing reusable template systems that scale with new content categories

The Problem

People want meaningful birthday messages but often struggle to write something personal quickly, especially for different relationships, tones, and languages.

Architecture

• Jetpack Compose UI with modular screens for prompts, results, and sharing
• Go backend APIs for generation requests, user history, and content templates
• Prompt orchestration layer for tone, language, and occasion-based personalization
• Caching and rate controls for stable performance during traffic spikes

Challenges Solved

• Repetitive AI outputs — improved prompt strategies and response post-processing
• Slow generation under peak usage — added queueing and optimized Go handlers
• Inconsistent message quality by language — introduced locale-specific template guidance

What I Learned

• How to design conversion-focused AI UX in Jetpack Compose
• Building resilient generation pipelines with Go services
• Balancing personalization, latency, and output consistency at scale
• Shipping social-sharing features that improve retention and virality

The Problem

Alumni communities often lose contact over time, and existing messaging apps are not optimized for verified profiles, searchable directories, and long-term professional networking.

Architecture

• Flutter client with modular chat, directory, and profile features
• Go microservices for authentication, contact indexing, and messaging APIs
• Role-based access model for private groups and verified alumni-only sections
• Search layer for fast lookup by batch, company, role, and location

Challenges Solved

• Duplicate and outdated contact records — introduced profile verification and merge flows
• Low discovery of relevant alumni — added smart filtering and ranking by profile relevance
• Notification overload in active groups — implemented granular notification preferences

What I Learned

• Designing mobile network products that balance privacy and discoverability
• Building scalable directory and search APIs in Go
• Improving retention with onboarding, profile completion, and recommendation flows
• Structuring communication features for both social and professional use cases

The Problem

Shoppers needed one mobile app to browse products from multiple sellers with consistent UX, while vendors needed better visibility and easier product discovery.

Architecture

• Flutter app with modular feature screens for catalog, product details, and checkout
• State-driven UI patterns for predictable rendering and navigation
• Reusable widgets for seller cards, product grids, and filters
• Cross-platform delivery for Android and iOS from a single codebase

Challenges Solved

• Large catalogs causing slow scrolling — optimized list rendering and image loading
• Complex filter combinations — introduced clearer filter states and reset flows
• Inconsistent layouts across devices — improved responsive rules and adaptive spacing

What I Learned

• How to scale Flutter UI architecture for commerce-style apps
• Designing reusable components for fast feature iteration
• Balancing performance and visual consistency in product-heavy screens
• Improving mobile conversion through clearer information hierarchy