Sahil Umraniya
Full Stack Engineer | Generative AI & RAG Systems | Cloud & DevOps Infrastructure
Full-stack software engineer with 2+ years shipping production systems on React, Next.js, and Node.js. Comfortable moving between application code, distributed systems (Redis-backed job queues, multi-tenant architecture), self-hosted infrastructure (Linux, systemd, Caddy), and applied Generative AI (RAG pipelines, LLM integration). Built and shipped 15+ production-grade applications across SaaS, e-commerce, and mobile.
Professional Experience
Software Engineer (Full Stack)
Smartters Software
- Designed and shipped full-stack features using React, Next.js, and Node.js/Express for production-scale systems.
- Architected a Redis-backed asynchronous job processing system (Feathers.js/Express) supporting batch, delayed, and event-driven workflows with idempotency guarantees.
- Built schema-driven, reusable form and table abstractions (Retro Form, Retro Table), reducing frontend duplication by 50%, and implemented multilingual support with real-time complaint tracking workflows.
Featured Projects
Distributed Job Queue — Redis-Backed Async Processing
Designed a production-grade async job processing system handling batch, delayed, and event-driven workloads with idempotency guarantees and race-condition-safe execution in a distributed environment.
Architected multi-tenant SaaS platform serving multiple branded web apps from a single codebase with isolated data. Built WebPanda.AI with LLM-based resume parsing, RAG matching, and direct-to-S3 presigned URL uploads.
ReplyMe — AI-Powered Customer Support Platform
Built an AI-driven customer support chatbot using Rasa and retrieval-augmented generation pipelines. Enabled domain-specific question answering by indexing structured and unstructured knowledge bases.
