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Hrishikesh Gawde
Mid-level Software Engineer specializing in AI and FinTech platforms
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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.
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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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