Kiran G.

Full Stack Engineer (8+ yrs) I design and ship production web systems end-to-end: architecture, APIs, front-end, and now AI-driven automation layered on top. Most of my work sits at the intersection of three things clients actually need in 2026 a solid full-stack foundation, integration with AI models/agents, and automation that removes manual work from the business. TECHNICAL APPROACH Front-end: I build with React.js / Next.js using component-driven architecture, TypeScript for type safety, and Tailwind for maintainable styling optimized for performance, not just "looks good in demo." Back-end: Node.js (Express) and Python (Django/Flask) for REST/GraphQL APIs, with attention to query optimization, caching, and scalability rather than just CRUD endpoints. AI & Automation layer: I integrate OpenAI/Claude APIs directly into application logic (not just chatbot widgets), and build agentic workflows with n8n/Make/Zapier that connect apps to CRMs, sheets, and third-party APIs without manual glue code. Data layer: Firebase, PostgreSQL, MongoDB schema design decisions based on real read/write patterns, not defaults. Automation & scraping: Python (Scrapy, Selenium) and Node.js (Puppeteer) for structured data pipelines, including anti-bot handling for production scraping at scale. HOW I WORK I scope before I code you get a technical breakdown of the approach before implementation starts. I flag architectural trade-offs upfront (serverless vs. dedicated server, SQL vs. NoSQL) instead of defaulting to whatever's fastest to build. If your project involves connecting an existing app to an AI agent, or you need a full-stack build that's automation-ready from day one, let's talk through the architecture first. 1. Full Stack Development 2. React.js 3. Node.js 4. Next.js 5. TypeScript 6. Python 7. API Development 8. AI Integration 9. Automation 10. Chrome Extension 11. MongoDB 12. PostgreSQL 13. Firebase 14. n8n 15. Web Scraping 16. Python 17. Make 18. n8n 19. Claude 20. Prompt evaluation 21. Prompt Engineering 22. AI Model Training 23. AI Model Training Prompt