Saurav Gupta

Currently leading the development of a multi-agent system for in-stream shopping and enhancing video product capabilities through a Computer Vision pipeline. Responsible for deploying ML microservices and mentoring a team of engineers.

Developed a CNN-based classification model for retail scales, improving accuracy significantly. Built edge AI inference pipelines and contributed to cross-European AI innovation initiatives.

Researched and trained models for ADAS systems, developing a pipeline for safety-critical applications. Focused on optimizing computer vision models for real-time inference.

Developed a synthetic data generation pipeline for robotic grasp point detection, training CNNs for estimating grasp points.

Developed an interactive touchscreen UI for embedded systems using React.js and Redux, enhancing user experience and system functionality.

Developed sales forecasting tools and health monitoring dashboards for major clients, managing code deployments and enhancing operational efficiency.

Completed a Master of Science in Cognitive Systems, focusing on the integration of cognitive processes with computational systems, enhancing understanding of AI and machine learning applications.

Earned a Bachelor of Engineering in Computer Science and Engineering, covering essential topics in software development, algorithms, and system design.