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

With 20 years of experience, Jack excels in developing complex software systems and custom deep-learning models for computer vision and natural language processing. He specializes in solving complex problems like 2D and 3D object detection, multi-object tracking, instance segmentation, and document understanding and classification. Jack has trained cutting-edge computer vision models for healthcare and autonomous driving problems, and he now focuses on LLM and generative AI.

Ivan is a passionate machine learning engineer and full-stack software developer. His expertise includes machine learning and computer vision technologies, with proficiencies in Python and R in the data science field. Ivan holds a master's degree in computer science and is experienced in leading and managing development teams.

Ben is a seasoned expert in computational science with an emphasis on computer vision. For the past ten years, his passion was to begin hard science quests, pose them as optimization problems, and then solve them with computing machinery. His main strengths are all manners of numeric optimization, C++11 fluency (tasteful, perfectionist, consistent, and poetic source code), and first-rate problem formulation/raw analysis skills.

Lilit is an applied scientist with more than six years of experience. She's enthusiastic about solving real-life, everyday problems with computer vision, digital signal and image processing, and neural network development. She works with an end-to-end AI pipeline, from problem definition, data cleaning, and preparation to modeling, testing, and preparing the model for further deployment.

Kujtim is a computer vision and machine learning engineer with over ten years of experience and more than four years of experience in academia. During his tenure, he worked with four startups, where he built products from scratch. Furthermore, Kujtim also worked as a consultant for esteemed clients such as the German automotive industry and Heraeus Group and as a data scientist researcher for Airbus.

Patricia is a self-taught machine learning engineer with expert knowledge of computer vision. She can handle every step of a machine learning solution, from data engineering to model training and deployment on AWS. Patricia is finishing her master's studies and collaborating on her thesis with researchers at Brown University.

Craig is a software engineer with nine years of experience in computer vision, front end, back end, big data, and ML/AI. He's worked in the San Francisco area on projects in manufacturing, eCommerce, and healthcare. Craig has experience architecting distributed data pipelines, mentoring junior engineers, and working closely with leadership to build product maps. Craig advocates concise planning, clear communication, and following through with commitments to help build trust-filled relationships.

Alfin is an experienced R&D computer vision engineer with expertise in cutting-edge algorithms like YOLO, Mask RCNN, and SORT. He specializes in GAN architecture for image super-resolution and object tracking and has a proven track record of developing innovative solutions for various applications. Alfin's unique skill set and deep knowledge of computer vision make him an ideal candidate for companies seeking to advance their computer vision projects.

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.

Burak is a senior computer vision/AI engineer with a PhD and 13 years of industrial experience. As an expert in computer vision, deep learning, and software development with C++ and Python, he's worked on various projects in large defense companies and AI startups, demonstrating a broad range of technical and soft skills. Burak describes himself as a lifelong learner. His goal is to be a part of impactful applied research and engineering where he can fully demonstrate his skills.

Jesús excels at creating high-quality software solutions due to his unique background, which combines 10+ years of top-notch software engineering with 8+ years of AI, machine learning, and data science work in areas like natural language processing (NLP) and computer vision, empowering him to be a valuable asset at both ends of the spectrum. He's worked with a wide array of tools and technologies, including Java, Python, TensorFlow, PyTorch, LLMs, RAGs, SQL, NoSQL, and DeepSeek.