Vaibhav Monpara

About

Backend engineer who built the core backend for Air Kitchens’ discovery/booking platform on AWS (Node + Python, DynamoDB, SQS/Lambda), optimizing for fast user-facing APIs and scalable async workflows. Introduced an AI matching service with a deterministic pre-filter + LLM ranking approach to balance latency vs quality, and has hands-on experience with production security (JWT/RBAC/RLS), CI/CD, and blue-green, staged migrations from Django to modular services.

Experience

Education

Key Strengths

• Designed and built backend from scratch for a booking platform (early-stage environment)
• High-performance API architecture using DynamoDB access-pattern design and async queues
• Scalability design on AWS with stateless services and independent scaling of Node vs Python services
• Latency/quality tradeoff optimization for AI matching (deterministic prefilter + LLM ranking)
• Production-grade API reliability practices (validation, idempotency, async/background processing)
• Security implementation in production (JWT auth, RBAC, IAM scoping, audit logs, rate limiting)
• Led incremental refactor/migration from coupled Django services to modular APIs with CI/CD
• Risk-managed rollouts using feature flags, blue-green deployment, staged releases, and metric baselines
• Identified missed edge case in bulk updates for multi-account users; added checks and DB constraints to prevent corruption