ML Plaftorm

Machine Learning Platform - Feature Management Platform.

Designed and led development of a unified Feature Management Platform encompassing both Online and Offline Feature Stores, supporting ingestion for kappa and lambda architectures. Collaborated with cross-org ML teams to introduce new capabilities such as scalable backfills, time‑based aggregate features, and streamlined SDK‑based integrations. Facilitated and drove the migration from different platforms to the new feature store ecosystem, ensuring reliability, correctness, and adoption across multiple product teams

Machine Learning/Computer Vision engineer for CAD Systems

As a Machine Learning Engineer specializing in Computer Vision, developed and maintained deep learning models for object detection, segmentation, and 3D reconstruction used in dental CAD/CAM systems. Designed and deployed production-ready vision algorithms integrated into manufacturing workflows, automating quality control and 3D modeling. Collaborated closely with hardware and software teams to optimize data pipelines and improve model accuracy and runtime performance.

• Participates in a research to achieve better image classification accuracy on benchmark datasets

• Participated in a research to optimize inference computations for convolutional neural networks

• Developed tools for deep learning experiments