Ananth Reddy is a senior AI software engineer with nine years of experience building ML and data-science solutions across healthcare, aviation, and enterprise domains. He combines research-grade expertise—publishing at ECAI and working on NSF-backed projects—with production experience deploying deep learning pipelines at Emory and Delta Air Lines. Skilled in Python, R, and SQL, he has delivered end-to-end systems from data ingestion and unified repositories to model validation for medical imaging, time-series forecasting, and NLP for clinical notes. A repeat Google Summer of Code mentor, he also contributes to open-source DICOM tooling and ML frameworks, helping bridge research prototypes into operational workflows. Based in Atlanta, he’s actively seeking full-time roles where he can apply his track record of reducing bias in medical models and turning complex research into reliable, scalable products.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Applied Data Science, Master of Science - MS, Applied Data Science at Indiana University–Purdue University Indianapolis
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at KL University
Niffler: A DICOM Framework for Machine Learning and Processing Pipelines.
Contributions:213 pushes, 5 branches in 1 year 10 months
pipelinesmachinelearningmachine-learningdicom
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Ananth Reddy - AI Software Engineer at Delta Air Lines