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Shram Kadia
Mid-level Software Engineer specializing in backend systems, cloud-native apps, and AI platforms
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About
Backend/full-stack engineer who has owned production systems end-to-end, including a Dockerized Node.js/TypeScript probabilistic fault-tree analysis service for nuclear safety research deployed on AWS. Also built and operated a FastAPI-based RAG pipeline over 200+ PDFs using FAISS, focusing on low-latency, idempotent workflows and strong observability; experienced with API design and Playwright E2E automation across React/Angular projects.
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Key Strengths
- Owned end-to-end production TypeScript backend from design through AWS/Docker deployment
- Built safety-critical, type-safe probability engine using domain-driven modeling and strong typing
- Designed clean architecture boundaries (parsing vs domain logic vs API) for maintainability
- Scaled RAG/FastAPI service and reduced query latency to ~30% via async batching and FAISS
- Implemented idempotent workflows with request UUIDs and DB upserts to prevent duplicate processing
- Set up practical observability (latency histograms, error rates, structured logs) for production ops
- Designed and versioned external-facing REST APIs with JWT auth and strong developer documentation
- Built resilient Playwright E2E automation using stable selectors, smart waits/retries, and page objects
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