Arshit Kakadiya

Decreased DB load 18% & improved API performance via Redis caching of subscriptions & rate limiting; improved video buffering 15% with HLS adaptive streaming and faster story loads via lazy/preloading; raised payment success 20% using queue-based webhooks (RabbitMQ/Kafka) & retry for Stripe/Razorpay; improved referral tracking 17% via event-driven updates & Redis; cut order confirmation latency 20% with batched DB writes & indexing; built scalable subscription/onboarding microservice with billing API.

Developed scalable .NET backend with RabbitMQ, Node-RED & Redis, boosting automation/performance 20%; built code generator for APIs (CRUD, batch, transactional) in .NET/Node.js, cutting dev time 25%; added .NET consumer thread pool, raising throughput 30%; integrated ChatGPT for parsing & auto-code gen, reducing manual input 30%; added per-project RBAC/ABAC with containerized Redis/RabbitMQ for secure isolation; built drag-and-drop Next.js frontend builder, saving 80% UI effort.