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Prashant Singh
Mid-level Backend/Platform Engineer specializing in data pipelines, reliability, and AI-assisted ingestion
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Backend engineer who built and scaled a blockchain-based e-voting platform at early-stage startup Elemential Labs, balancing decentralization with real-world operability by centralizing control-plane components while keeping the ledger immutable. Has hands-on experience migrating high-throughput ingestion from Kafka to AWS Kinesis with parallel cutover, strengthening data integrity and read-after-write consistency (Elasticsearch), and hardening pipelines against silent data-quality failures via anomaly detection and self-healing automation.
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Key Strengths
- Designed and evolved backend platform for blockchain-based e-voting with focus on correctness, auditability, and operational reliability
- Pragmatic architecture tradeoff decisions (centralized control plane with decentralized immutable core) to improve deployability and supportability
- API design for reliability and frontend enablement (versioned contracts, deterministic behavior, strong validation and observability)
- Led low-risk production migration from Kafka to AWS Kinesis using parallel run, traffic mirroring, and output validation
- Improved read-path consistency under load via Elasticsearch indexing/fallback strategy
- Proactively identified silent data quality failure modes (schema drift, malformed events) and implemented semantic checks/anomaly detection with automated remediation
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