Toptal Engineering Expert
Architecting Effective Data Labeling Systems for Machine Learning Pipelines
Machine learning models are trained on massive datasets in which each data point is labeled to give it context and meaning. This deep dive describes how to build a data labeling architecture from scratch, with a focus on workflow, security, and data quality.
Reza Fazeli
Reza is a machine learning engineer specializing in natural language processing and computer vision. At IBM, he developed machine learning algorithms designed to improve text classification and automate model training, innovations that resulted in six patents. Reza has a master’s degree in engineering from the University of Toronto.
Theory, Tools, and Business Applications: An In-depth Look at Quantum Computing
Quantum computing is challenging the realities of technology, security, and industry as we know them. Here, we investigate the nuances of quantum mechanics and how to enter the world of quantum software development with tools such as Cirq and TensorFlow Quantum.
Joao Diogo de Oliveira
Joao is an AI developer who holds a Quantum Excellence Certificate from IBM. He specializes in machine learning and deep learning and has partnered with Fortune 100 companies like Procter & Gamble and Hearst. Joao has more than 14 years of experience and holds a master’s degree in computer engineering from the University of Porto.
Advancing AI Image Labeling and Semantic Metadata Collection
Image labeling can be a tedious, time-consuming task, compounded by the sheer volume of data needed to train deep neural networks. This article breaks down large data set processing and explains how a new SaaS product can help automate image labeling.
Neven Pičuljan
Neven is an artificial intelligence engineer with extensive experience in machine learning, computer vision, algorithms, and a range of AI-related technologies. Prior to founding an AI R&D consulting company, Neven helped create and train cutting-edge computer vision models used by healthcare, e-commerce, real estate, and financial services companies across the globe.
Apache Spark Optimization Techniques for High-performance Data Processing
Apache Spark is an analytics engine that can handle very large data sets. This guide reveals strategies to optimize its performance using PySpark.
Necati Demir, PhD
Necati is a software engineer specializing in data science, machine learning, back-end development, and DevOps. He is an AWS Certified Solutions Architect and AWS Certified Machine Learning Specialist with a doctorate in computer engineering. Necati serves as Chief AI Officer and CTO of Datagran, a machine learning automation company that he co-founded.
5 Pillars of Responsible Generative AI: A Code of Ethics for the Future
Generative AI advances raise new questions around data ownership, content integrity, algorithmic bias, and more. Here, three experts at the forefront of NLP present recommendations for developing ethical generative AI solutions.
Madelyn Douglas
Madelyn is the Lead Editor of Engineering at Toptal and a former software engineer at Meta. She has more than six years of experience researching, writing, and editing for engineering publications, specializing in emerging technologies and AI. She previously served as an editor at USC’s Viterbi School of Engineering and her research on engineering ethics was published at IEEE’s NER 2021 conference.
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Ask an AI Engineer: Trending Questions About Artificial Intelligence
In this ask-me-anything-style Q&A, leading Toptal AI developer Joao Diogo de Oliveira fields questions from fellow engineers about resources for pivoting to ML, approaches to large language models, and the most critical future applications of AI.
Joao Diogo de Oliveira
Joao is an AI developer with more than 10 years of experience at Fortune 100 companies like Procter & Gamble and startups in the healthcare, energy, and finance industries. Joao holds a master’s degree in computer science from the University of Porto and has multiple certifications in ML and deep learning.
Advantages of AI: Using GPT and Diffusion Models for Image Generation
Generative AI is taking the world by storm, with potentially profound impacts on the content we create. Learn the basics of AI image generation and produce sophisticated artistic renderings with this tutorial.
Juan Manuel Ortiz de Zarate
Juan is a developer, data scientist, and doctoral researcher at the University of Buenos Aires where he studies social networks, AI, and NLP. Juan has more than a decade of data science experience and has published papers at ML conferences including SPIRE and ICCS.
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