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Siva Pothuru
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and cloud-native ML
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About
LLM/agent engineer at USAA who built a production GPT-4o RAG conversational assistant for financial analysts, focused on regulatory interpretation and internal documentation search. Emphasizes compliance-grade reliability with strict grounding, safe fallbacks, and full auditability via MLflow/DVC plus human-in-the-loop review; reports ~45% reduction in ticket resolution time.
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Key Strengths
- Built and deployed a production LLM assistant for financial analysts (doc search, regulatory interpretation, ops queries)
- Strong compliance-first AI design: grounded generation from approved/versioned documents with safe fallbacks
- End-to-end MLOps traceability: model/prompt/data versioning with MLflow and DVC for auditability
- Designs reliable agent workflows with deterministic steps, guardrails, and measurable evaluation (offline, staging, production KPIs)
- Production orchestration expertise with LangChain/LangGraph for stateful multi-step agent workflows
- Cross-functional delivery with non-technical stakeholders via shadowing, prototypes/demos, and iterative feedback loops
- Delivered measurable impact: reduced ticket resolution time by ~45% (as stated in transcript)
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