Vyom Aggarwal Email & Phone Number

Sunnyvale, Ca, Us

Building Data Science and AI Workbench - LinkedIn Darwinhttps://engineering.linkedin.com/blog/2022/darwin--data-science-and-artificial-intelligence-workbench-at-li

Indianapolis, Indiana, Us

Machine Learning Platform• Led the initial development of the low-code Mlops platform. Designed the system architecture and implemented continuous integration, data versioning/ingestion, tracking model training, artifact storage & retrieval, and model monitoring capabilities. Leveraged Docker, Kubernetes, CI/CD tools, MLflow, Kubeflow, and Kserve.• Developed Python libraries for the in-house MLOps platform’s Python SDK. Used for rapid development and deployment of machine learning applications to production.• Working with product teams across anthem to onboard ML application to in-house low-code ML platform.Area of Expertise: Python, Artificial Intelligence, Distributed Systems, Cloud and Data Solutions, Product Management.

SpotU is a hyperlocal discovery platform. Application is available on Google Play Store. ( https://play.google.com/store/apps/details?id=com.ravtechnologies.evnto )About spotU.Discover the real-time hyper-local happenings, globally trending events, create your own events and reach-out to other users. With SpotU, you can create your own events and broadcast them to other users on location bases. SpotU democratizes the hyper-local event creation and discover, along with globally trending happenings. You can spot local stores, events, parties, meetup, news, shopping coupons ,latest trends, and lot more, just by browsing through the 'around you' section of SpotU.

Austin, Texas, Us

• Responsible for data preparation, augmentation, and trained multiple deep learning models for multi-class image classification.• Developed a contour completion algorithm that significantly enhanced the overall accuracy of the heuristic edge detection model.• Experience in building scalable backend systems. Developed application interfaces for model serving & training pipelines.• Experienced in high-volume data parsing/cleaning/analyzing and web scrapping.

Walldorf, Bw, De