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Lakshmi Jampana
Senior Full-Stack Engineer specializing in FinTech and cloud platforms
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About
State Street engineer who identifies operational pain points and turns them into high-impact internal platforms, including a service-health monitoring system and a Databricks log standardization pipeline used by 200+ users. Also experiments with practical LLM workflows, having built a Claude-based AI host that dramatically reduced facilitation time for a growing book club.
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Key Strengths
- Owned end-to-end internal platform deployment from discovery through post-launch stabilization
- Cross-functional stakeholder management across skeptical engineering teams
- Built backend health monitoring for 25+ services with real-time frontend visibility
- Improved incident response times by 35%
- Increased release success rate from 80% to 96%
- Scaled platform adoption to 200+ organizational users
- Built production-style AI facilitation workflow using Claude and prompt iteration
- Reduced recurring workflow prep time from ~1 hour to a few minutes
- Designed Databricks/PySpark log ingestion pipeline standardizing disparate service data
- Strong root-cause debugging of silent data loss in production pipelines
- Implemented validation and automated data quality checks to prevent recurrence
- Closed 12 visibility gaps and reduced outages by 40%
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