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Gowtham Kondabolu

@gowthamkondabolu

I build and deploy computer vision machine learning systems for autonomous perception.

United States
Message

What I'm looking for

I'm looking to build and deploy scalable computer vision and machine learning systems for perception, robotics, and autonomous applications, with opportunities to optimize models, work with large-scale datasets, and collaborate across engineering teams.

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

EH
Current

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 logoBU

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

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