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Dhairya Senjaliya

Mobile πŸ“± | Web Developer πŸ•ΈοΈπŸ“ž +91 8866663381
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React Native | React.JS | Next.JS | JavaScript | TypeScript | Python | AI/ML | API Architecture | Open Source Enthusiast ⚑

Production Test Cases & Real-World Implementations

This page highlights real-world test cases and system validations I design and execute when building production-grade mobile, web, and AI-powered applications.

This page highlights real-world test cases and system validations I design and execute when building production-grade mobile, web, and AI-powered applications.These are not demos β€” they reflect how I ensure reliability, performance, and safety in real products.

1.AI-Powered Text Intelligence

React NativePythonLLMs
Overview

AI-assisted text analysis embedded directly into a mobile application (health, productivity, or content platforms).

Tech Stack

React Native Β· Python (FastAPI) Β· OpenAI / LLM APIs Β· PostgreSQL

Test Scenarios
  • βœ“AI response accuracy for short vs long user input
  • βœ“Handling empty, malformed, or unsafe prompts
  • βœ“Timeout, retry, and graceful failure handling
  • βœ“Ensuring sensitive user data is never logged
  • βœ“Latency monitoring under real usage load
Outcome

Predictable AI behavior, safe failure modes, and production-ready response handling.

Architecture Diagram
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2.Smart Semantic Search with Embeddings

WebBackend AI
Overview

Semantic search for articles, health data, or internal tools β€” beyond keyword matching.

Tech Stack

Next.js Β· Python (FastAPI) Β· Embeddings Β· Vector Search Β· PostgreSQL

Test Scenarios
  • βœ“Search relevance vs traditional keyword search
  • βœ“Handling synonyms, misspellings, and partial queries
  • βœ“Performance testing with 10k+ records
  • βœ“Fallback logic if embedding service is unavailable
  • βœ“Ranking and pagination consistency
Outcome

Fast, intelligent search that feels natural to users and scales reliably.

Architecture Diagram
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3.React Native Performance & Stability

Production Mobile Apps
Overview

Performance validation for mobile apps used daily by real users.

Tech Stack

React Native Β· Expo Β· Reanimated v3 Β· Detox

Test Scenarios
  • βœ“App startup time on low-end Android devices
  • βœ“Animation smoothness and dropped frame detection
  • βœ“Memory usage during long user sessions
  • βœ“Background ↔ foreground lifecycle behavior
  • βœ“Offline and poor-network handling
Outcome

Smooth UX, low crash rates, and stable long-session usage.

Architecture Diagram
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4.API Integration & Data Integrity

MobileWeb Platforms
Overview

API-driven systems where reliability matters more than "happy path" success.

Tech Stack

React Native Β· Next.js Β· Node.js / Python APIs

Test Scenarios
  • βœ“Handling 4xx / 5xx API errors gracefully
  • βœ“Partial or malformed API responses
  • βœ“Retry logic with exponential backoff
  • βœ“Auth token refresh flows
  • βœ“Mobile ↔ Web data sync consistency
Outcome

Resilient apps that don't break when APIs misbehave.

Architecture Diagram
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5.AI Automation & Background Jobs

Python-Driven Systems
Overview

Automated workflows for notifications, reports, and AI processing.

Tech Stack

Python Β· Background Workers Β· Queues Β· Cron Jobs

Test Scenarios
  • βœ“Retry logic on job failure
  • βœ“Duplicate job prevention
  • βœ“Rate-limit handling for AI APIs
  • βœ“Logging and alerting on failures
  • βœ“Load testing with concurrent jobs
Outcome

Reliable automation with full observability and recovery paths.

Architecture Diagram
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6.Security & Compliance-Focused Testing

HealthcareUser-Sensitive Systems
Overview

Testing practices aligned with real-world privacy and security expectations.

Tech Stack

Security Protocols Β· Access Control Β· Encryption

Test Scenarios
  • βœ“PII masking in logs
  • βœ“Secure API authentication flows
  • βœ“Role-based access control validation
  • βœ“AI prompt sanitization
  • βœ“Secure token and secret storage
Outcome

Systems ready for healthcare, wellness, and compliance-sensitive environments.

Architecture Diagram
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7.CI/CD & Release Stability

Safe, Repeatable Shipping
Overview

Ensuring every release is predictable and reversible.

Tech Stack

GitHub Actions Β· Fastlane Β· Detox

Test Scenarios
  • βœ“Automated test enforcement before release
  • βœ“Rollback readiness checks
  • βœ“Store build validation
  • βœ“Environment-based config verification
Outcome

Faster iteration without sacrificing production stability.

Architecture Diagram
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Built for Production, Not Just Demos

These test cases are derived from real production systems I've built and maintained across mobile, web, and AI-powered platforms.My focus is always on reliability, performance, security, and user safety β€” not demo-only implementations.

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