Syed Tahseen Raza Rizvi

• Developed machine learning-based autonomous driving algorithms, including perception and safety analysis. • Developed multiple deep learning-based approaches to integrate intermediary knowledge to improve the effectiveness of a perception model. • Developed an approach to fuse multimodal sensor data in the context of autonomous driving domain. • Conducted testing and validation of developed autonomous driving approaches on simulations.

• Developed various automated pipelines to detect and extract relevant data from documents using machine learning techniques. • Developed approaches to interpret, conceptualize and analyze large amounts of Scientific network data • Developed Natural language-based approaches to identify the nature of relationship between entities in a network data. • Developed network analysis-based solutions to identify trends and patterns, i.e., cluster analysis, sub-communities etc.

• Analyzed data from different sensors for activity recognition. • Developed an approach for sensor data fusion from different modalities, i.e., cameras & LIDAR. • Developed approach for tracking human activities across the campus using sensors data.

• Extracted of relevant data from HVAC products user manuals. • Crafted a custom ontology for troubleshooting issues in HVAC products. • Developed a generic solution for detecting relevant information from technical documents using an ontology. • Developed a dashboard to visualize live sensor data coming from large number of products.

• Developed the mechanism to record and analyze 3D point clouds using Kinect sensor. • Developed an approach to estimate human body pose using 3D point clouds. • Animated the tracked activity using avatars.

• Worked as backend specialist for the web applications. • Additional responsibilities included Android Game Development