A developer passionate about building robust, scalable applications with a focus on quality and reliability. Experienced in full-stack development, AI/ML integration, and DevOps practices.
Full-Stack Developer Exploring AI, ML & Reliability Engineering
Building scalable, intelligent solutions with a focus on quality, reliability, and automation.
As a Software Development Engineer in Test (SDET), I believe in:
- Quality First: Writing testable, maintainable code from the ground up
- Test Automation: Comprehensive testing strategies across all layers
- DevOps Integration: CI/CD pipelines that ensure reliable deployments
- Data-Driven Testing: Using AI and analytics to improve testing effectiveness
- Containerization: Consistent environments from development to production
| Test Type | Framework | Purpose |
|---|---|---|
| Unit Tests | Vitest / Pytest | Validate frontend components and backend logic independently |
| Integration Tests | Vitest + FastAPI TestClient | Ensure end-to-end communication between services |
| E2E Tests | Playwright | Simulate real user flows: login, job submission, AI feedback |
| Regression Tests | Automated via CI | Validate that updates don’t break existing features |
TypeScript-driven recruitment solution with advanced AI integration
Tech Stack: React, TypeScript, React Router
Testing: Component testing, E2E automation
Features: AI candidate analysis, automated interview questions, decision support
Intelligent code review system using AI for quality assurance
Tech Stack: React, TypeScript, Tailwind CSS
AI Integration: Advanced code analysis algorithms
Testing: Unit tests for analysis logic, integration tests for AI responses
- 139+ Repositories - Diverse project portfolio
- Multiple Starred Projects - Community recognition
- 20+ Technology Stacks - Comprehensive skill coverage
- 15+ AI/ML Projects - Cutting-edge technology integration
- 100% Test Coverage - On critical business logic
- TypeScript/JavaScript: 60% - Modern web development
- Python: 25% - AI/ML and backend services
- Others: 15% - Mobile, automation, and specialized tools
- AI HR Resume Analyzer - Advanced resume parsing with AI
- GeminiChat - AI chatbot with Google Gemini
- AI-Powered Movie Platform - Movie recommendations with AI
- LangChain Integration - Advanced language processing
- AI Car Marketplace - Next.js 15 with Supabase
- Sleep Tracker - Health monitoring app
- Home Expense Tracker - React Native financial app
- Travel Agency Platform - Complete travel solution
- WhatsApp Automation - Communication automation
- YouTube Downloader - Media processing tool
- URL to QR Generator - Utility application
"Quality is not an act, it is a habit." - Aristotle
As an SDET, I don't just write tests – I architect quality into every line of code. My approach combines:
- Shift-Left Testing: Catching issues early in the development cycle
- AI-Enhanced QA: Using machine learning to predict and prevent defects
- Continuous Integration: Automated pipelines that ensure consistent quality
- Performance Engineering: Building applications that scale under real-world conditions
- Security-First Mindset: Implementing security testing at every layer
- Advanced AI testing methodologies
- Cloud-native testing strategies
- Security automation and penetration testing
- Test data analytics and insights
- Performance engineering at scale
I'm always excited to discuss SDET practices, test automation strategies, and AI integration in software testing.
- SDET Roles - Full-stack testing and quality assurance
- DevOps Engineering - CI/CD and infrastructure automation
- AI/ML Testing - Specialized testing for intelligent systems
- Consulting - Test strategy and automation implementation
"Building the future of software quality, one test at a time"