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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