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Sai Dinesh Gunda

@saidineshgunda

I build production machine learning pipelines and computer vision models.

United States
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What I'm looking for

I'm looking to build production ML and computer vision systems where I can own work from prototyping through deployment, collaborate across interdisciplinary teams, and improve model safety, performance, and reliability at scale.

At Optum, I build and optimize machine learning and deep learning models that serve 10K+ daily users at 98% uptime. I own the ML lifecycle from prototyping through cloud deployment, using Python, PyTorch, TensorFlow, CI/CD, and rigorous metrics analysis.

Previously at Finastra, I developed high-performance ML systems processing 5M+ daily transactions at 94% precision for three global clients. I improved AUC-ROC from 0.81 to 0.93 and reduced Databricks/Spark pipeline runtime by 35% while working closely with cross-functional engineering teams.

I'm also a published computer vision researcher, with peer-reviewed work on VGG16-based facial emotion recognition. My work combines deep learning, computer vision, cloud ML deployment, safety-minded prototyping, and practical model evaluation.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

University of Missouri–Kansas City logoUC

University of Missouri–Kansas City

Master of Science, Computer Science

2024 -

Grade: 3.5/4.0

Pursuing a Master of Science in Computer Science with a focus on Data Science, maintaining a GPA of 3.5/4.0.

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