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Venkata Sri Sai Chandavolu
Mid-level AI Systems Engineer specializing in agentic evaluation and multimodal voice agents
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About
Co-founder at Skoolive who built a multi-agent LLM application to help users understand complex research papers (including PDF interaction and flowchart-style representations), moving from prototype to production using Gemini SDK and deployment to Runway. Also developed and demoed a web-agent benchmarking framework, running hands-on sessions with customer-facing teams to improve agent reliability and drive adoption.
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Key Strengths
- Took an LLM app from single-agent prototype to multi-agent production deployment
- Diagnosed and fixed hallucinations/latency issues by compacting context and summarizing older documents
- Improved reliability via structured outputs (JSON schemas) and agent isolation for easier debugging
- Emphasizes traces/observability to troubleshoot agentic workflows in real time
- Strong technical demo/workshop delivery using interactive live demos and intentional failure cases
- Partnered with sales/customer-facing teams to drive adoption by translating benchmark results into practical reliability improvements
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1 publication
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