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Sathwik Varikoti
Mid-level AI/ML Engineer specializing in Generative AI and Conversational AI
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About
GenAI Engineer at Infosys who built and deployed a production multi-agent RAG system for a top-tier bank, scaling to ~50,000 queries/day with 99.9% uptime. Drove measurable gains (45% accuracy improvement, 30% API cost reduction) through open-source LLM fine-tuning, Pinecone indexing/retrieval optimization, and AWS-based MLOps/monitoring, and has experience enabling adoption via developer workshops and customer-facing collaboration.
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Key Strengths
- Took LLM/RAG prototype to production for banking transaction classification
- Built high-throughput async multi-agent system serving ~50,000 queries/day
- Improved RAG/query accuracy by 45%
- Reduced API costs by 30% via fine-tuning smaller open-source LLMs
- Achieved 99.9% uptime on AWS in production
- Real-time troubleshooting of agentic workflow drift; hotfixing Pinecone retrieval to restore accuracy
- Developer-facing technical demos/workshops on MLOps and containerized deployment (Docker/Kubernetes/CI/CD)
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