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Yashshree Patil
Mid-Level Software Development Engineer specializing in full-stack systems and ML
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AWS engineer who productionized an internal ML-driven data pipeline from a notebook prototype into a scalable, observable Python service (schema validation, deduplication, idempotency, safe retries, versioned transforms, CloudWatch alarms), reducing manual effort and improving data accuracy/trust. Experienced diagnosing workflow issues in real time (e.g., upstream schema changes) and partnering with account managers/support to unblock adoption of seller-facing Marketplace features by demonstrating reliability with concrete metrics.
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Key Strengths
- Prototype-to-production execution for complex ML/data systems
- Strong requirements alignment with PMs and downstream users (success metrics, failure modes, freshness/latency)
- Production engineering rigor (validation, idempotency, retries, versioning)
- Observability-first mindset (metrics, alarms, dashboards) and parallel correctness validation
- Methodical real-time troubleshooting using logs/metrics and hypothesis-driven fixes
- Resilience to upstream changes (schema-change detection, safer fallbacks, preventive alerts)
- Effective technical communication via tailored demos/workshops with live examples and tradeoffs
- Customer-facing partnership to drive adoption by addressing accuracy/reliability concerns with data and monitoring evidence
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