Alexey Elkin

About

LLM/agentic workflow engineer with hands-on experience turning demo-grade LLM analytics into production-ready features by tackling tail latency, observability, and cost/reliability controls. Strong at diagnosing real-time customer incidents via trace-driven debugging across retrieval, tool calls, retries, and prompt/version metadata, and frequently partners with sales as a technical lead to de-risk enterprise pilots through transparent failure-mode walkthroughs.

Experience

Education

Key Strengths

• Takes LLM prototypes to reliable production systems by grounding decisions in real user request patterns
• Deep, systematic performance work: end-to-end latency measurement, long-tail mitigation, timeouts, and caching
• Strong observability mindset: structured logs with request/workspace IDs, prompt versioning, and model metadata for reproducible debugging
• Rapid real-time diagnosis of agentic workflows using trace/run IDs across inputs, tool calls, model calls, and side effects
• Identifies non-obvious root causes (e.g., tool timeouts/empty retrieval causing apparent hallucinations) and fixes workflow-state issues
• Effective technical communicator for developers: teaches architecture and failure modes, not just features
• Builds customer trust in enterprise settings through transparent discussion of limitations and failure behavior; supports pilots that expand after proving reliability