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Megha John Babu
Junior Full-Stack Software Engineer specializing in scalable backend systems
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About
Built and shipped an AI-powered journaling app feature that analyzes user text for emotions in real time, owning everything from React/TypeScript UX (dynamic theming + Framer Motion) to a FastAPI backend integrating Hugging Face. Has hands-on production experience deploying Dockerized services on AWS (EC2/RDS/S3/CloudWatch) with GitHub Actions CI/CD, and resolved a real latency/scaling incident by converting blocking external API calls to async with retries/timeouts.
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Key Strengths
- End-to-end feature ownership from UI/architecture through production deployment
- AI/ML API integration (Hugging Face) with robust validation, error handling, and response normalization
- Production backend design in FastAPI (versioned REST, JWT auth, structured service layers)
- Polished React + TypeScript UX with strong attention to micro-interactions and typed API contracts
- PostgreSQL schema design and iteration (refactoring for multi-analysis, constraints, indexing, pagination)
- AWS production operations and CI/CD (Docker on EC2, RDS, CloudWatch, GitHub Actions)
- Incident/scaling troubleshooting: reduced latency ~30–50% by moving blocking external calls to async with timeouts/retries
- Shipped full-stack lead capture + account creation flow end-to-end in Next.js (App Router + TypeScript)
- Clear separation of reads (Server Components) vs writes (Client -> Route Handler) for security and performance
- Post-launch ownership: monitored API logs/DB performance, fixed edge cases (duplicates), improved validation/error handling and UX
- Improved dashboard load time ~30% by reducing bundle size, memoizing expensive computations, and moving fetching to Server Components
- Designed Postgres relational model with constraints/indexes; optimized queries with composite indexes validated via EXPLAIN ANALYZE
- Built durable onboarding workflow with retries/idempotency using unique request IDs, DB constraints, and transactional writes
- Production-quality defaults: strong typing, modular code, tests on critical paths, structured logging and performance monitoring
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