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Akshit Gaur
Mid-level AI Engineer specializing in agentic LLM systems
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About
Built and productionized a dual-agent LLM invoice-processing system for GFI Partners, adding guardrails and audit trails to earn stakeholder trust and drive adoption while cutting operational burden by 75%. Uses LangSmith observability to diagnose real-time workflow regressions and has experience teaching agentic AI concepts (e.g., at Carnegie Mellon) through hands-on, scaffolded demos.
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Key Strengths
- Built multi-agent LLM invoice processing system reducing operational burden by 75%
- Improved extraction reliability by decomposing 30+ field extraction into specialized agents
- Designed production-grade guardrails with validation and auditability
- Strong stakeholder management via regular standups, transparent communication, and iterative demos
- Deep debugging/diagnostics using LangSmith tracing, replay, metadata filtering, and alerting
- Effective technical teaching/demos by scaffolding from simple to complex and showing real debugging
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