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Sai Dinesh Pusapati
Senior AI/ML Engineer specializing in GenAI agents and LLM workflows
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About
LLM/AI engineer with production experience building a retrieval-based document intelligence system that extracts information from PDFs/emails, backed by Python + Spark pipelines. Focused on reliability and cost/latency optimization (caching, batch processing) and has hands-on orchestration experience with Airflow (sensors, retries, alerts). Also partnered with business stakeholders to deliver customer feedback classification/summarization for faster sentiment insights.
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Key Strengths
- Built and deployed an LLM-based document information extraction system to production
- Designed Python/Spark data pipelines for large-scale document processing
- Handled messy/unstructured data via preprocessing and document chunking
- Improved latency and reduced API/infrastructure costs using caching and Spark-based batch processing
- Airflow orchestration for ETL with dependency management, sensors, retries, and alerts
- Structured approach to AI workflow evaluation using metrics, edge cases, logging/monitoring, and post-deploy iteration
- Able to translate business needs into AI solutions (customer feedback classification/summarization) and collaborate with non-technical stakeholders
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