Hire Freelance JAX Developers
Salman Ahmed
Salman is a principal AI engineer with 13+ years of experience designing and implementing AI solutions in top Fortune 500 companies (Google, CVS Health, and Moss). He's skilled in designing and developing end-to-end solutions that align with business objectives. Salman is an effective leader who has led teams of 15+ and delivered estimated cost savings of $18 million per quarter.
Show MoreHoria Mărgărit
Horia's industry experience extends across digital health, consumer finance, internet search, engineering software, and transportation logistics. He has over 10 years of expertise applying AI methods and approaches to tackle businesses problems. Horia's predictions for business applications of AI have been featured in CIO magazine and Forbes. He earned a master of science degree in statistics at Stanford University and two BAs specializing in cognitive and computer science at UC Berkeley.
Show MoreRaven Nicole Roberts
Raven is an ML engineer with three years of production experience building systems where the math actually has to work. She specializes in geometric deep learning, quantum ML, and physics-informed architectures, i.e., problems where off-the-shelf solutions don't fit and you need to build the right primitives from scratch. Comfortable across PyTorch, JAX, PennyLane, and embedded TinyML deployment, Raven also shipped ML systems for robotics and AI infra companies in Singapore and Vienna.
Show MoreMatthew Alhonte
Matt has worked as a machine learning engineer, data engineer, and data scientist for over 10 years, and has worked at the intersection of stats and programming for closer to 20 (before the term data scientist had caught on). He combines strong technical skills in deploying production data pipelines, ML model training, and inference pipelines with a rigorous background in experiment design and statistical inference.
Show MoreLaurence Cullen
Laurence is a machine learning engineer and founder of venture-backed startup Vanellus, developing accelerated physics simulations. Laurence combines extensive experience executing and deploying R&D heavy machine learning projects with six years of industrial software engineering. His machine learning experience ranges from LLMs and computer vision to audio synthesis and cutting-edge approaches to accelerate numerical programming problems.
Show MoreAlan Sammarone
Alan is an innovative software, research, and machine learning (ML) engineer with over a decade of experience idealizing, researching, building, and deploying machine learning applications. He excels in fast-paced startup environments and drives cutting-edge AI/ML solutions from concept to deployment.
Show MoreAlex Burlacu
Over the years, as an experienced machine learning engineer, Alex dealt with diverse problems, ranging from computer vision to natural language processing and time series forecasting. He has worked as a single engineer on the project several times, and despite scarce data and few computational resources, he succeeded where others failed. He has acted as a machine learning team lead for the past few years. In his spare time, Alex enjoys engaging in independent lecturing and ML research.
Show MoreAriel Kwiatkowski
Ariel is an experienced developer with a strong focus on machine learning algorithms for reinforcement learning, graph analytics, image classification, and feature engineering. His physics background makes math-heavy topics a core strength, along with hands-on experience with machine learning and software engineering. Ariel has obtained his PhD in the application of AI to crowd simulation.
Show MoreSimon Geisler
Simon is an AI and data science professional with more than five years of experience in data science, data engineering, software engineering, and system architecture design in the public cloud (products scaled to 10+ million users). In Germany and Silicon Valley, he worked on spatio-temporal IoT, natural language processing, and computer vision projects. Besides his strong affinity to modeling algorithms, Simon confidently develops production-grade microservices, Spark, and Kafka Streams apps.
Show MoreJan Krepl
Jan is a lead machine learning (ML) engineer with expertise in cloud architecture, full-stack development, and freelance software engineering across diverse projects. He designs and deploys machine learning solutions with a strong focus on natural language processing, computer vision, and time series analysis, and seamlessly embeds them into full-stack applications. Outside work, Jan contributes to open-source projects and shares technical knowledge through educational content.
Show MoreNaoki Shibuya
Naoki is a senior machine learning engineer with experience in PyTorch. He is passionate about deep learning training, and he worked on model quantization and neural architecture search for vision models. Naoki is also an experienced C++ programmer who has worked on real-time algorithmic trading systems.
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