Saeed Entezari

* Pose Estimation: Training und Deployment in GCP * Question Answering mittel LLMs in Azure OpenAI und ChromaDB als Vector DB, Breitstellung der CI/CD Pipeline und legen QA Kriterien fest

* Computer Vision in Self-Driving Cars including Detection and Tracking * Processing the measurement data in Self-driving Cars * Software Testing

Working on the deep networks including GANs, VAE, and BERT-based Language Models for the purpose of data augmentation Validating the generated sentences with the contextualized embedding based deep neural networks Developing APIs for the augmentation and the validation systems

8 different Deep neural ranking models for argument retrieval in a collection resulting from 4 different debate portals Working on aggregation strategies to aggregate the model results Visualizing the analysis of the model outputs and compare them together

Exploiting machine learning techniques on analyzing digital signals gotten from the test benches Using CycleGAN network to produce realistic scenes of the street for the self-driving car system

Coordination of the programmers' weekly meeting (happens with the sponsorship of Salesforce) Designing the challenges for the candidates who want to do machine learning and Data Science online courses in order to inspect their qualification Review of the candidates' submission for the challenges Getting into negotiation with the companies to introduce the graduates for getting the programming positions

Text alignment detection project using neural networks in Webis group

Human detection from the images acquired by drones

Natural Language Processing Deep Learning