Hire Object Detection Experts
Jack Kwok
With 20 years of experience, Jack excels at 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.
Show MoreMerve Acar
Merve is an experienced machine learning engineer who takes pleasure in revealing the story of data and building predictive models. She has a proven track record of designing and implementing pipelines for extracting, validating, cleaning, transforming, and modeling data. Merve is passionate about solving real-world industry problems and is eager to take on new challenges and opportunities.
Show MorePatricia Cobelli
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.
Show MorePatryk Zoltowski
Patryk is a digital nomad with eight years of experience as a software developer and six years as a mobile developer. He specializes in native iOS apps, but his interests include mobile applications, image processing, augmented reality, and signal processing. Patryk released a Peek Calendar, a successful application featured by Apple and numerous tech blogs.
Show MoreChandrachud Basavaraj
Chandrachud is an experienced machine learning (ML) and artificial intelligence (AI) engineer. He studied at top schools in India and France and was CTO of an early-stage French AI startup. Chandrachud loves ML, computer vision, and large language models (LLMs) and has delivered high-quality work on various ML projects. He's been building and integrating multiple components to deploy AI systems in production on the cloud. Chandrachud loves to innovate and create cool technology.
Show MoreLeonardo Oliveira
Across robotics, automotive, and applied research, Leonardo has spent five years building perception, localization, and autonomy software for real-world robotic systems. His work spans SLAM, sensor fusion, computer vision, and state estimation, with a strong focus on production-grade C++, ROS 2, and performance-critical robotics software. He has experience taking algorithms from research and prototyping through integration, evaluation, and deployment on autonomous platforms
Show MorePetar Pavlovic
Petar is an AI engineer with 10+ years of production ML experience, focusing on LLM applications, RAG systems, and AI agents tailored for enterprise clients. With a background in computer vision and industrial R&D at Nokia Bell Labs, Qualcomm, Microblink, and Gideon Brothers, he excels in building end-to-end infrastructure from prototype to production.
Show MoreMohammed Benslimane
Mohammed is an AI and engineering leader with 10+ years of experience and deep computer vision expertise spanning 3D perception, detection, tracking, and segmentation. As head of engineering at Anova Sports, he led AI-powered basketball analytics. His experience across Tesla, Meta, Hudl, and CNP Assurances covers machine learning, generative AI, agent orchestration, and MLOps, combining technical depth with leadership to take AI systems from research to production.
Show MoreIbrahim Abedrabbo
With 11 years of experience in applied machine learning and software engineering, Ibrahim builds advanced AI systems for real-world challenges. He is skilled in high-performance coding, AI integration, neural network training, inference optimization, and pipeline automation, and proficient in VLMs, LLMs, 2D/3D detection, classification, and TensorRT. Ibrahim is experienced in engineering full-stack AI solutions from research to deployment, with the flexibility to meet evolving project needs.
Show MoreErik Harutyunyan
Erik is a master's student at the Technical University of Munich, studying mathematics in data science. During his last job at SuperAnnotate, he worked on various complex assignments, including edge detection, semantic segmentation, object detection, active learning, knowledge distillation, filter pruning, and deployment on edge device projects.
Show MoreLilit Yolyan
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.
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