A domain specialist on our team will speak with you to understand your goals, technical needs, and team dynamics.
Within days, we'll introduce you to the right talent for your project. Average time to match is under 72 hours.
Work with your new team member on a trial basis (pay only if satisfied), ensuring you hire the right people for the job.
For the last several years, Ergin has worked with agriculture, transportation, and workplace safety use-cases to improve their computer vision models by providing synthetic image data. Ergin holds a Bachelor of Science in Electrical and Electronics Engineering as well as an MBA.
Subbu is machine learning engineer and researcher with a strong background in computer vision and synthetic data. He has a Ph.D. in Machine Learning and Computer Vision in addition to over 7 years of experience in full stack development. Subbu has published research articles in top conferences such as IEEE and ACM and is skilled in a range of tools and technologies, including PyTorch, TensorFlow, OpenCV, and Flask.
Nisar is highly accomplished in the field of artificial intelligence with a Ph.D., a patent, and over 60 peer-reviewed technical publications to his name. In addition to his strong technical skills, ranging from generative deep learning algorithms, natural language understanding and generation, and AI based video generation and augmentation, Nisar has proven experience as a consultant and excels in stakeholder management and communication.
Improve both speed and accuracy when analyzing medical imaging.