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Nikhitha Todeti
Mid-level AI Engineer specializing in ML, LLM applications, and data automation
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Data/ML practitioner who has built a production RAG-based knowledge assistant integrated into Microsoft 365/internal dashboards to help employees query internal documents in plain English. Experienced orchestrating and hardening ETL pipelines with Airflow and Azure Data Factory (validation, retries, monitoring) and running end-to-end model evaluation and production performance tracking via Power BI.
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Key Strengths
- Built and deployed a RAG-based internal knowledge assistant for enterprise document retrieval
- Strong data preprocessing for messy multi-format sources (PDF, Excel, internal docs)
- Orchestrated reliable ETL pipelines across SQL DBs, APIs, and files using Airflow and Azure Data Factory
- Implemented data quality validation, dependency management, retries, and monitoring/alerts to reduce pipeline failures
- Defines success metrics and evaluates ML/LLM systems with structured testing and production monitoring (Power BI)
- Pragmatic model iteration: pivoted from logistic regression to Random Forest with feature engineering to improve performance
- Translates business stakeholder needs into ML solutions and delivers results via accessible dashboards
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