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Sruthi Sivasankar
Junior Software Engineer specializing in backend systems and AI data pipelines
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Backend engineer with fintech/AI startup experience who built an Azure serverless, event-driven pipeline for large-scale crypto sentiment analysis and semantic search (OCR/NLP to vector search) and integrated LLM + blockchain data for predictive insights. Demonstrated measurable impact (25% lower retrieval latency, 10% fewer data errors, 15% higher engagement) and has led safe microservices migrations with strong security and reliability practices.
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Key Strengths
- Designed and scaled AI-driven backend for crypto sentiment analysis + semantic search (OCR/NLP ingestion to vector search)
- Balanced latency/cost/accuracy using serverless + lightweight models; accepted eventual consistency where appropriate
- Improved retrieval latency by 25% and reduced data errors by 10% via modular event-driven pipeline and shared data layer (MCP)
- Built secure, reliable FastAPI services (async, connection pooling, caching, schema validation, rate limiting, health checks) to handle traffic spikes
- Led migration from async pipeline to microservices with idempotency, checksums, and feature-flagged incremental rollout (no downtime)
- Implemented layered authZ/authN with Firebase JWTs, role/ownership checks, user-scoped queries, and least-privilege service accounts
- Proactively identified failure modes (interrupted large uploads) and hardened pipelines with idempotency, integrity checks, retries, and dead-letter handling
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