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Hrishikesh Gawde

Mid-Level Software Engineer specializing in AI/LLM systems and Azure backend platforms

Software Engineer II4 years experienceMid-LevelConsultingEnterprise SoftwareFinTech
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About

LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.

Experience

Software Engineer IIDeloitte
Software Engineer IDeloitte

Education

University Of Washington, Seattlemaster, Information Systems (2025)
University Of Mumbaibachelor, Information Technology (2020)

Key Strengths

  • Takes LLM prototypes to production by defining concrete constraints (latency, cost ceilings, reliability) and modularizing prompt/tool/state layers
  • Prioritizes reliability, observability, and clear ownership to build trust in production LLM systems
  • Systematic real-time debugging of agentic/LLM workflows using trace-based visibility and failure-bucket classification (retrieval, tool calling, orchestration, state, prompts, infra)
  • Designs pragmatic mitigations (guardrails, max-iteration caps, loop detection) to prevent runaway tool-calling and cost/latency spikes
  • Adapts technical demos/workshops to audience needs with step-by-step traces, live walkthroughs, and intentionally breaking flows to teach failure modes
  • Bridges sales and engineering by de-risking adoption via tailored architecture discussions and high-risk pilots that convert skeptical customers

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Languages

English

Skills

.NET CoreASP.NETAWSAgentic AIAPI IntegrationsAzureAzure AIAzure DevOpsAzure Event GridAzure FunctionsCI/CDC#ClaudeCSSData Ingestion