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Jaswanth Vakkala
Mid-level Generative AI Engineer specializing in enterprise RAG and multimodal NLP
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About
Built and deployed a production LLM/RAG chatbot at Wells Fargo for securely querying regulated financial and compliance documents, emphasizing low hallucination rates, explainability, and strict governance. Experienced with LangChain multi-agent orchestration plus Airflow/Prefect pipelines for ingestion, embeddings, evaluation, and retraining, and partnered closely with compliance/operations to drive adoption through demos and feedback-driven retrieval rules.
Experience
Education
Key Strengths
- Built and deployed a production LLM chatbot for regulated financial/compliance documents
- Strong hallucination reduction via retrieval-layer design (chunking, metadata filters, query rewriting, hybrid retrieval, reranking)
- Governance-first architecture: role-based access controls, permission-aware retrieval, auditable grounded responses
- Orchestrates complex LLM workflows and multi-agent systems with LangChain
- Production pipeline orchestration with Airflow/Prefect including retries, timeouts, checkpoints, and monitoring
- Metrics-driven testing and evaluation of agents (grounding accuracy, hallucination rates, latency, failure/fallback rates)
- Effective collaboration with non-technical compliance/operations stakeholders using demos and requirements translation
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