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Sahithi S
Mid-level AI/ML Engineer specializing in NLP, MLOps, and Generative AI
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About
Built and deployed a production generative AI chatbot at NVIDIA using LangChain + GPT-3 integrated with internal data sources, cutting response time nearly in half and improving CSAT by ~12 points. Also delivered LLM-driven QA tools by fine-tuning Hugging Face transformer models and deploying via an AWS-based pipeline (Lambda/Glue/S3) with orchestration (Airflow/Step Functions), CI/CD, Kubernetes, and monitoring (MLflow/Splunk/Power BI).
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Key Strengths
- Built and deployed production LLM systems (chatbot + LLM-driven QA tools)
- Delivered measurable impact: ~50% faster response times and +12 CSAT points (NVIDIA chatbot)
- End-to-end ML/LLM delivery: data integration, deployment pipelines, orchestration, monitoring
- Strong data integration and data quality standardization across heterogeneous sources
- Production reliability focus: retries/dependency management, automated testing, and monitoring (MLflow/Splunk/Power BI)
- Cross-functional collaboration with non-technical stakeholders (compliance) using prototypes and iterative feedback
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