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David Gross
Entry AI Software Engineer specializing in LLM workflows and ML pipelines
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About
Built an autonomous-agent document indexing concept in a hackathon with Microsoft and The Seattle Times, architecting an Azure-based system (Azure AI Foundry, Cosmos DB, Azure indexing, Copilot Studio) and coordinating closely with the customer team. Also created and pitched a sports matchmaking app (Ludicon), combining user studies, feature implementation, and technical support on sales/investor calls.
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Key Strengths
- Designed end-to-end LLM/agent architecture from data organization through frontend delivery (Azure stack + Copilot Studio)
- Strong customer communication cadence (daily syncs, small meetings, clear prioritization of stakeholder input)
- Practical real-time troubleshooting of LLM workflow issues (token limits, pricing tier guidance, input reduction strategies)
- Effective technical storytelling and enablement (big-picture-to-details demos; workshop-style teaching)
- Bridges technical and sales conversations to address investor concerns and support deal closure
- Translates user research into shipped product features (beginner-friendly games, organized pickup games, demographic differentiation via profiles)
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