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srinila pogalla

@srinilapogalla

Message

I build reproducible data pipelines and evaluate AI systems with Python and SQL.

United States

Message

What I'm looking for

I'm looking to build and evaluate AI and data products where I can apply Python, SQL, machine learning, experimentation, and reproducible evaluation methods to improve system quality.

At the Computational Research Center, I build Python machine learning pipelines that reduced data processing time by 90% and optimize SQL and backend processes that improved API responsiveness by 85%.

I'm focused on evidence-based AI evaluation, designing grading criteria, validating model outputs, and documenting reproducible workflows. My projects include a 16-agent analytics system, a hybrid RAG pipeline for scientific document intelligence, and a BERT and T5 autocorrect system.

I use Python, SQL, statistical modeling, machine learning, and experimentation to improve data quality, retrieval relevance, and AI system performance.

Experience

Work history, roles, and key accomplishments

Current

Graduate Research Assistant

Current

Computational Research Center

Feb 2025 - Present (1 year 6 months)

Developed machine learning pipelines with Python that reduced data processing time by 90%. Applied SQL and statistical modeling for exploratory data analyses and engineered FastAPI-based ETL pipelines with clear documentation.

Python SQL Machine Learning Statistical Modeling fastAPI ETL Docker GitHub Actions