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Tejaswini Manjunatha - Forward Deployed Operational Engineer in Palo Alto, USA

Tejaswini Manjunatha

Mid-level Reliability Engineer specializing in incident response and LLM-driven support automation

PalantirNYUPalo Alto, USA4 Years ExperienceMid LevelWorks On-Site

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About

Customer Success Services / Support professional working on Palantir Foundry who productionizes customer integrations (secure OAuth2, scheduled pipelines) and builds LLM-driven support automation (runbook matching) with monitoring and evaluation suites. Also leads developer workshops/demos on Foundry packaging/installation workflows, using live debugging techniques to make concepts concrete.

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Key Strengths

  • Takes prototypes to production with secure auth (OAuth2) and automation (scheduled pipelines)
  • Translates complex platform concepts for non-technical customers using AI coding agents
  • Systematic LLM troubleshooting using monitoring, eval suites, and end-user feedback loops
  • Improves LLM accuracy by refining prompts and adding structured inputs (e.g., reporter vs supporter context)
  • Strong technical enablement: delivers developer workshops with live demos and API-level visibility (network requests)

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Experience

Forward Deployed Operational EngineerPalantir Technologies · Jun 2025 – Present
Product Reliability EngineerPalantir Technologies · Feb 2023 – Jun 2025
Product Reliability Operations AnalystPalantir Technologies · Oct 2021 – Feb 2023

Education

NYUmaster, Computer Engineering (2021)
PES Universitybachelor, Information Science (2019)

Skills

JavaGoTypeScriptPrompt EngineeringJiraDatadogGrafanaIncident ResponsePerformance OptimizationSlackReactIntegration TestingMonitoringAlertingGitHub

Languages

English

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EngineeringEngineering in Bay AreaJavaGoTypeScriptPrompt Engineering

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Connect with Tejaswini

Tejaswini already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Tejaswini ManjunathaMid-level Reliability Engineer specializing in incident response and LLM-driven support automation