Sai Dinesh Gunda
@saidineshgunda
I build production machine learning pipelines and computer vision models.
What I'm looking for
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
Designed and optimized ML and deep learning models and training pipelines using Python, PyTorch, and TensorFlow, serving 10K+ daily users at 98% uptime. Evaluated model performance, fine-tuned DNNs via LoRA/QLoRA, and implemented CI/CD to compress deployment cycles.
Education
Degrees, certifications, and relevant coursework
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/gd0399Job categories
Skills
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