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Butchi Venkatesh Adari
Mid-level Machine Learning Engineer specializing in LLM platforms and robotic perception
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About
Built and shipped a production multi-agent personal financial assistant at AlphevaAI on AWS ECS, combining FastAPI microservices, Redis/SQS orchestration, and Pinecone-based hybrid RAG (semantic + BM25) to ground financial guidance. Improved routing accuracy with an embedding-based SetFit + logistic regression intent classifier feeding an LLM router, and optimized UX with live streaming plus cost controls via model tiering and caching.
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Key Strengths
- Deployed multi-agent personal finance assistant to production on AWS ECS
- Built hybrid RAG pipeline (semantic + BM25) with Pinecone and reranking
- Improved intent routing using SetFit embeddings + one-vs-rest logistic regression with labeled dataset and continuous misroute evaluation
- Designed orchestration across Redis Streams + AWS SQS with live UX thinking-step updates and streaming final responses
- Scaled agent/tool ecosystem (8 agents, 51 tools) using LangChain/LangGraph/MCP
- Reliability focus with measurable metrics (intent accuracy, latency, cost/request, token tracking) plus unit tests and monitoring
- Cost/latency optimization via model tiering and caching
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