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Akshay Danthi
Senior AI Engineer specializing in production GenAI systems
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About
AI engineer who has shipped production LLM systems end-to-end, including a natural-language-to-SQL analytics copilot for career advisors that achieved ~95% query success through schema grounding, access controls, and automated regression testing with golden queries. Also builds LangGraph-orchestrated multi-step agents (resume analysis, recommendations) and RAG pipelines (PDF ingestion + FAISS) and partners closely with non-technical users to drive adoption and trust.
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Key Strengths
- Built and deployed production NL2SQL analytics copilot with ~95% query success rate
- Strong reliability engineering for LLM apps (schema grounding, validations, access controls, retries with error feedback)
- Practical evaluation strategy using golden queries and automated regression testing tied to real production failures
- Hands-on LangGraph orchestration for multi-step agent workflows in production
- Modular agent/workflow design with measurable metrics (task success, grounded accuracy, latency, fallback/retry rates)
- Effective collaboration with non-technical stakeholders via shadowing, iterative demos, and trust-focused UX improvements
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