Prem Dommalapati
Development
California, United States
Skills
Machine Learning (ML)
About
Prem Dommalapati's skills align with IT R&D Professionals (Information and Communication Technology). Prem also has skills associated with System Developers and Analysts (Information and Communication Technology). Prem Dommalapati appears to be a low-to-mid level candidate, with 4 years of experience.
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Work Experience
AI/ML Support Engineer
Microsoft
August 2023 - Present
- Working part of the Azure OpenAI team AI Innovation: Drove AI advancements by collaborating with clients to leverage new Azure OpenAI features, streamlining debugging and integration processes. Spearheaded multiple Strategic clients regarding Azure Cognitive Services / Azure OpenAI / and Azure Speech Services Collaborated with clients and engineers to debug and implement solutions, enhancing customer satisfaction.
AI Engineer
Uniquify
October 2021 - August 2023
- Build and scale existing data annotation pipelines while evaluating Neural Network models across several domains to select a proper deep learning model for object detection within images. Improved object detection by 50% through research, development model selection, and implementing models for automatic labeling; Selected pose estimation models using UNET and Blazepose, leveraging datasets provided by the company. Analyzed training results, wrote neural network model, and orchestrated training runs, which used resnet50 as the base, that increased overall data accuracy by 25% for Auto labeling product. Improved the accuracy of deep learning models such as yolov3, blazepose, Unet using various frameworks including pytorch, TensorFlow, and a private architecture for datasets that mainly revolve around image processing. Partnered with Research and Engineering teams to implement AI algorithms and neural networks, reducing initial training time by 95%. Built and assessed performance of image processing and deep learning models written in ChainerCV and TensorFlow for standard CNN architectures, which involve the basics of fetching training data and preprocessing data to orchestrate training runs.
AI Intern
Partnership HealthPlan of California
June 2017 - July 2018
- Actively collaborated with development team to understand the codebase and overall architecture of the system Utilized deep learning models such as Long Short-Term Memory (LSTM) to create an internal codebase wiki search which increased productivity by 15% Acted as a key player in the creation and fine-tuning of machine learning models, ensuring optimal performance and accuracy.
Education
San Jose State University
Master's Degree
