Mid-Level Software Engineer specializing in data pipelines, observability, and analytics
San Francisco, CASoftware Engineer2 years experienceMid-LevelTechnologySocial MediaSaaS
ScreenedIdentity Verified
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About
Meta engineer who improved a critical revenue estimation dataset pipeline that was arriving ~6 days late—diagnosed via raw logs/lineage, redesigned legacy scans to only process the needed window, and shipped validation plus freshness/lag dashboards. Delivered ~50% latency reduction (to ~3 days) and regained adoption by running old/new pipelines in parallel with gated cutover and evidence-based customer communication. Applies incident-response rigor to real-time LLM/agentic workflow debugging and regularly runs developer demos/workshops.
Experience
Software EngineerMeta Platforms
Software EngineerZenfra, Virtual Tech Gurus
Software Engineer InternTesla Inc
Software Engineer InternMeta Platforms
Software Engineer InternZoho Corporation
Education
Arizona State Universitymaster, Computer Science (2023)
Madras Institute of Technology, Anna Universitybachelor, Computer Science and Engineering (2021)
Key Strengths
Took a late-arriving revenue estimation dataset from unreliable to production-ready via end-to-end pipeline tracing and redesign
Reduced data latency from ~6 days to ~3 days (~50% improvement) by eliminating unnecessary historical scans
Restored stakeholder trust through parallel runs, output equivalence proof, and gated cutover
Strong incident-style triage for LLM/agentic workflow issues (stabilize first, reproduce via traces, targeted probes, invariants)
Builds operational transparency with dashboards (freshness/lag) to speed debugging and set expectations
Effective technical enablement: demos as working systems, workshops with reusable mental models and starter kits
Partners well with sales by translating vague concerns into measurable actions and removing integration friction
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