**Context:** Crypto platform bleeding $30k/month on Okta, needed secure migration for 150k users without downtime. **My Role:** Solo full-stack architect (Next.js, Supabase, TypeScript, Stripe) **The Human-Led, AI-Guarded Method:** • **Blueprint:** 48h discovery → migration ADR → zero-downtime rollout plan • **AI Scaffolds:** Social login integrations, NFT wallet components, Telegram bot structure • **Human Ensures:** Security reviews, payment gateway hardening, user session management • **Guardrails:** E2E tests, staging environment, rollback procedures **Outcomes:** • **Cost Impact:** $30k/month → $0 (100% cost elimination) • **User Growth:** 50% DAU increase (10k → 15k users) • **Zero Incidents:** No downtime during 150k user migration • **Revenue:** New ChatGPT integration created additional revenue stream • **Time-to-Ship:** 3 payment gateways integrated in 5 days **What I Avoided:** Vendor lock-in, authentication vulnerabilities, user churn during migration

**Context:** School management system with slow dashboards, manual attendance tracking, no real-time insights. **My Role:** Full-stack developer (React, Node.js, MongoDB, WebSockets) **Approach:** • **Performance First:** React hooks for real-time updates, optimized queries, lazy loading • **Automation:** Cron jobs for automated alerts, email notifications to teachers/parents • **Data Visualization:** Custom charts for academic analytics, attendance trends • **Mobile-First:** Responsive design for teacher tablets, parent mobile access **Outcomes:** • **Load Time:** 8s → 2s dashboard render (75% improvement) • **Automation:** 100% automated attendance alerts (was manual) • **User Engagement:** Teachers using analytics 3x more frequently • **Support Tickets:** 60% reduction in "where's the data?" tickets **What I Avoided:** Database N+1 queries, unoptimized React re-renders, manual notification bottlenecks

**Context:** Financial platform needed virtual account system, EMI calculations, geolocation validation for compliance. **My Role:** Backend architect + React component library (Node.js, Express, React, MongoDB) **Architecture Decisions:** • **Microservices:** Separate services for geolocation, EMI calculation, payment tracking • **Component Library:** Reusable React components for consistent UX across features • **API Design:** RESTful sub-wallet APIs with proper error handling, rate limiting • **Validation:** Server-side pin code validation, EMI calculation accuracy checks **Outcomes:** • **Development Speed:** 50% faster feature development with component library • **API Reliability:** 99.9% uptime for payment processing endpoints • **Scalability:** Microservices architecture supported 10x user growth • **Compliance:** Geolocation validation passed regulatory audits **What I Avoided:** Monolithic architecture debt, inconsistent UI patterns, hard-coded business logic

**Context:** Educational institution needed to convert paper MCQ tests to digital, detect plagiarism, validate originality. **My Role:** Full-stack developer (React, Node.js, Tesseract.js, PostgreSQL) **Technical Innovation:** • **OCR Pipeline:** Tesseract.js integration with image preprocessing for 95% accuracy • **Plagiarism Detection:** Google Search API integration via serp.js for content validation • **Data Management:** Well-structured database schema with question categorization • **UI/UX:** Form validation, batch upload, progress tracking for educators **Outcomes:** • **Digitization Speed:** 90% faster than manual data entry (8 hours → 45 minutes per test) • **Accuracy:** 95% OCR accuracy after preprocessing optimization • **Plagiarism Detection:** Caught 23% of duplicate/copied questions before publication • **User Satisfaction:** Teachers reduced prep time by 70% **What I Avoided:** Manual transcription errors, undetected plagiarism, poor image handling, data loss during processing