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Sameer Shaik
Senior AI Engineer specializing in Generative AI, NLP, and applied deep learning
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About
Built a production multi-agent LLM system at Live Nation on Databricks (LangGraph/LangChain) that let venue/event teams ask questions in Slack, auto-generated optimized route schedules, and produced inventory/stocking recommendations from historical SQL data and venue trends. Improved reliability by tightening prompts with strict JSON schemas, providing sample questions/SQL, and adding guardrails plus synthetic/edge-case testing, while iterating with event managers and senior VPs via prototypes and feedback loops.
Experience
Education
Key Strengths
- Built and deployed a Databricks-based multi-agent LLM system for tour/event planning and inventory recommendations
- Designed structured prompting with strict JSON schemas to reduce inconsistent LLM/agent outputs
- Implemented agent reliability practices: guardrails, synthetic examples, and edge-case testing
- Strong orchestration experience coordinating multiple agents, tool calls, and SQL validation (LangGraph/LangChain/Databricks Workflows)
- Pragmatic model/prompt selection using task type, context length, latency, and precision comparisons
- Effective collaboration with non-technical stakeholders using prototypes and feedback loops to iterate on outputs
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