Gowtham Kondabolu
@gowthamkondabolu
I build and deploy computer vision machine learning systems for autonomous perception.
What I'm looking for
At Elevance Health, I develop CVML models for segmentation and depth estimation that improve autonomous machinery perception. I build Python and PyTorch solutions across scalable training, testing, serving, and edge and cloud deployment.
I've reduced production training time by 25%, lowered inference latency by 20%, and improved system safety and model precision by 15% through rigorous metrics, testing, and model optimization.
Previously at T. Rowe Price, I analyzed large-scale datasets and built TensorFlow and PyTorch perception models using segmentation, depth estimation, multi-view geometry, ROS, and ROS2. My work improved prediction accuracy by 18%, increased throughput by 30%, and accelerated issue detection by 40%.
I also supported machine learning workflows at Citizens Bank, automating model validation and developing reporting in SQL, Python, and R. I enjoy collaborating across teams to deliver reliable, real-time AI systems for complex autonomous applications.
Experience
Work history, roles, and key accomplishments
Data Scientist
Elevance Health
Jan 2025 - Present (1 year 7 months)
Developed CVML models for segmentation and depth estimation, improving perception accuracy for autonomous machinery. Managed full ML lifecycle, implemented training pipelines, and deployed scalable edge and cloud solutions.
Education
Degrees, certifications, and relevant coursework
Binghamton University
Master of Science, Management Information Systems
2022 - 2024
Grade: 3.3
Pursued a Master of Science in Management Information Systems with a CGPA of 3.3.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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