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Utkarsh Joshi
Senior Data Scientist specializing in ML, NLP, and GenAI analytics
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Built and deployed an LLM-powered analytics assistant enabling business users to ask questions in plain English and receive validated Spark SQL executed in Databricks, with a Streamlit/Flask UI. Addressed strict client schema-privacy constraints by implementing a RAG strategy and ultimately leveraging AWS Bedrock and fine-tuned reference docs. Also has production ML pipeline experience using Docker + Airflow and AWS (S3/ECS/EC2) for financial classification models.
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Key Strengths
- Built and deployed an LLM analytics assistant that generates validated Spark SQL in Databricks
- Designed RAG approach to address client data/schema privacy concerns (shifted to AWS Bedrock)
- Production orchestration and deployment using Docker + Airflow with AWS infrastructure (ECS/EC2, S3)
- End-to-end ML deployment experience (XGBoost/RandomForest classification model in finance)
- Reliability-focused AI workflow design with modularization, metrics (accuracy/latency/task success), logging, drift checks, and human-in-the-loop review
- Strong stakeholder collaboration: delivered self-serve marketing UI with automated SQL + charts to replace multiple dashboards
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