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Vishnu Priyan Sellam Shanmugavel
Mid-Level Applied AI Engineer specializing in LLM services, RAG, and OCR/NLP extraction
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About
Backend/platform engineer who built and evolved a large-scale healthcare document processing system (OCR + LLM orchestration) in Python/FastAPI on Google Cloud (Cloud Run, GCS, Firestore), processing ~1.5M files per batch and tens of millions overall. Emphasizes reliability and operational safety via deterministic IDs, idempotent state machines, strong observability, and self-healing reconciliation, plus disciplined migrations using dual-run validation and incremental rollouts.
Experience
Education
Key Strengths
- Designed and scaled healthcare document-processing backend (OCR + LLM) handling tens of millions of files
- Built reliable, retry-safe pipelines using deterministic IDs, idempotent state transitions, and stage-level completion markers
- Cost and quota-aware workflow orchestration (centralized rate limiting; early triage to reduce OCR/LLM spend)
- Strong migration execution: dual-run validation, automated diff checks, incremental rollout with feature flags and rollback path
- Operational excellence: persisted intermediate artifacts and per-file observability to speed incident resolution and enable targeted replays
- Identified and fixed subtle failure modes (inconsistent state on partial retries) with reconciliation/self-healing jobs
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