Hire the Top 3% of Computer Vision Developers in 48 Hours

Adrian is a software engineer and data scientist working at the intersection of software engineering, computer vision, and machine learning. He has experience in research, multinational corporations, and startup environments and was awarded patents for real estate and financial modeling projects. Adrian also contributed to surveillance systems for Singapore's border security and participated in competitive coding and hackathons, consistently ranking in the top 1% on platforms like HackerRank.

Itamar is a talented algorithm developer and data enthusiast with expertise in computer vision, machine learning, and statistical analysis. He has successfully deployed cutting-edge algorithms for enhancing IVF cycle efficacy and stroke diagnosis. With a master's degree in electrical engineering and data science, Itamar excels in articulating complex topics and driving impactful results, leveraging his technical prowess and business acumen.

Nour is a skilled professional focused on artificial intelligence. He has three years of experience leading development teams and seven years of experience designing and developing machine learning models and computer vision algorithms. He has also focused on computer vision to help autonomous cars and drones in environment inception and decision-making steps. Nour has applied AI to military applications, surveillance systems, optical character recognition, drones, and self-driven cars.

Jin has multidisciplinary experience developing deep learning and computer vision methods for medical, auto-piloting, and geospatial image sectors, with works published at ICLR, NeurIPS, and MICCAI. He developed data-and-computation-efficient machine learning methods for budgeted computer vision tasks such as segmentation, detection, classification, super-resolution, GAN, and 3D reconstruction. Jin also excels at multimodal self-supervised representation learning, image generation, and mapping.

Igor is a results-driven quantitative development professional with progressive industry experience in commodities, deep learning, computer vision, and data science. He has demonstrated hands-on financial and AI software development experience with in-depth knowledge of Python. Igor consistently attempts to find the best value-add opportunities and contribute to the team as a whole.

Artem is a Zend Certified PHP developer with over 20 years of experience in web development. Besides being a technical authority, he is very good at communicating complicated issues in a simple way. Artem believes that actions speak louder than words.

Ming is a machine learning engineer specializing in recommender and anti-fraud systems. He has been working in data science and AI for the past four years, including building and improving the recommender system for Shopee and TikTok, which have hundreds of millions of users and items. Ming's industry experience is backed by a master's degree in computer science.

Jason is an expert in data, LLM and quantitative finance with an interest in finding patterns in novel data sets. He specializes in using traditional statistical methods and contemporary machine learning (ML) to extract knowledge from data. His experiences range from ultra-high dimensional and big data to time-series and non-numerical data. Jason is a problem-solver with a proven ability to deliver in different team settings and to communicate with clients with diverse technical backgrounds.

Furkan is a computer vision researcher and Ph.D. candidate in computer science at Özyeğin University. He worked on data and ML-related jobs in Turkish Telecom and eBay Turkey. He founded a startup called T-Fashion and developed numerous state-of-the-art computer vision and time-series analysis algorithms. Moreover, Furkan worked for Fishency, an international startup that monitors the health conditions in aquatic ecosystems, and developed different recognition algorithms for them.

Guinther is a highly skilled computer vision engineer with 5+ years of experience building systems with millions of users. Specializing in deep learning, object detection, tracking, recognition, and algorithms, he excels at breaking complex, open-scope problems into actionable plans by determining tasks and objectives. Guinther successfully defines processing hardware, camera positioning, data requirements, system architecture, and everything involved in transforming pixels into real value.

Léo is an experienced engineering manager with machine learning, computer vision, data science, and software development expertise. He's working with Python, C++, PyTorch, TensorFlow, OpenCV, Pandas, Docker, SQL, and MongoDB. Léo also scaled a team to 20 people as part of a high-growth tech startup; therefore, he can provide technical recruitment and team management services.