Mounica Dasari
@mounicadasari
I build computer vision models for real-time edge and cloud perception.
What I'm looking for
At EY, I develop CVML perception models for segmentation and depth estimation, improving system accuracy by over 15% in complex production environments and reducing real-time inference latency by 20%.
I build robust training and full-stack ML pipelines spanning data ingestion, model training, testing, and production deployment across edge and cloud systems. I use Python, PyTorch, and TensorFlow to optimize DNNs on large-scale datasets.
Previously at Tech Mahindra, I developed foundational computer vision models, improved baseline performance by 10%, and supported deployment for client projects. I work closely with cross-functional teams to integrate reliable perception models into production solutions.
Experience
Work history, roles, and key accomplishments
Developed advanced CVML models for perception tasks including segmentation and depth estimation, enhancing system accuracy by over 15% in complex production environments. Engineered robust training pipelines and full-stack ML pipelines for production-scale deployment on edge and cloud systems, optimizing DNNs to achieve a 20% reduction in inference latency.
Education
Degrees, certifications, and relevant coursework
Central Michigan University
Master of Science, Computer Science
Pursued a Master of Science in Computer Science at Central Michigan University.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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