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Akshit Gaur
Mid-level AI Engineer specializing in agentic LLM systems
Mountain View, CATeaching Assistant3 years experienceMid-LevelTechnologyArtificial IntelligenceEducation
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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.
Experience
Teaching AssistantCarnegie Mellon University
Agentic AI Engineer InternGFI Partners
Research AssistantCarnegie Mellon University
Software EngineerCorus Entertainment
Education
Carnegie Mellon Universitymaster, Software Management (2025)
University of Waterloobachelor, Mathematics (2020)
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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