Achieve your business goals with Toptal’s unparalleled AI services. Our comprehensive service offering, powered by industry-leading talent, is designed to solve for any business challenge and deliver exceptional results.
Adrian is a leading generative AI expert and two-time O'Reilly book author who currently leads Microsoft's Cloud, Data & AI Strategy for Public Sector and Healthcare. Adrian's career spans technical and business roles across diverse sectors, including telecom, fintech, consulting, and IT. Internationally, he has delivered multiple innovative initiatives across North America, LATAM, and Europe. As a key member of the Trusted AI Committee of the LF AI & Data and a Responsible AI Lead at OdiseIA, Adrian champions ethical practices in AI advancements. He is also the author of the Linux Foundation's AI Fundamentals class.
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
Filip is a machine learning engineer with several years of professional experience. He's worked on large-scale problems at Amazon Web Services as a software developer and built natural language processing models as a research associate at the University of Zagreb. Filip's main interests are machine learning and natural language processing, with an emphasis on building text classification models.
Ali is an IT leader and strategist with 25+ years of experience at IBM, Verizon, Thomson Reuters, and Cognizant. He has led global teams, building and scaling multibillion-dollar annual growth. As a turnaround and strategic growth expert, he has jump-started innovation, grown revenue, and improved productivity.
This is Ali’s personal WhatsApp number so please be respectful.
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Toptal’s AI services provide our clients with a wide range of capabilities, from prompt engineering guidance to full end-to-end delivery of new machine learning models. We deliver comprehensive strategies alongside scalable AI solutions to bring you outstanding results.
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Toptal delivers leading artificial intelligence services through its diverse talent network and flexible delivery models. We implement the right skills at each project phase, blending expertise from various roles for seamless execution.
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Ali is an IT leader and strategist with 25+ years of experience at IBM, Verizon, Thomson Reuters, and Cognizant. He has led global teams, building and scaling multibillion-dollar annual growth. As a turnaround and strategic growth expert, he has jump-started innovation, grown revenue, and improved productivity. He has worked across verticals and across a wide range of technologies including AI/ML, cloud, ERP, CRM, ITSM, cybersecurity, and others.
Brad serves as a principal delivery manager at Toptal with a focus on implementing cutting-edge technology solutions for our clients. He works across our entire portfolio, driving impactful business outcomes for startups and Fortune 500 companies alike. Brad specializes in product and go-to-market strategy, management consulting, and process optimization.
Along with earning a doctorate in computer science and engineering, Dilip has 22+ years of experience in the industry. Since 2015, he's been focusing on projects related to machine learning and deep learning. Dilip has an eye for detail, which helps in working closely with domain scientists and improving the accuracy and reliability of models for fine-grained image classification, object detection and segmentation, natural language processing, time-series forecasting, and generative AI.
Stephane possesses an impressive 24 years of international experience in data analytics and business process optimization. Throughout his career, he has excelled in various areas, including database design, business intelligence (BI), machine learning algorithms, big data, and predictive analytics. Stephane's expertise lies in developing solutions that automate processes, allowing clients to allocate their efforts toward value-added activities.
Abhimanyu is a machine learning expert with more than 19 years of experience creating predictive solutions for business and scientific applications. He’s a cross-functional technology leader, experienced in building teams and working with C-level executives. Abhimanyu has a proven technical background in computer science and software engineering with expertise in high-performance computing, big data, algorithms, databases, and distributed systems.
Adam has more than 12 years of experience in data engineering and data science. His tools of choice include Python 3, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to effectively communicate with both highly technical and nontechnical specialists.
Dragos is a passionate machine learning engineer with over five years of experience in artificial intelligence. He is well-grounded in natural language processing, Python, and SQL. Dragos has an excellent knowledge of deep learning frameworks such as TensorFlow and PyTorch.
Christine Chen, CFA, a fintech product leader, specializes in credit, alternative investments, and payments. Using AI and ML/DL, she drives product vision, design, and development for optimal market fit. Her highlights include democratizing a DTC investment app, developing a multimillion-dollar investment platform, leading AI product discovery for an asset management firm, and aiding the world's largest financial data provider in enterprise wide transformation.
Previously at
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With extensive expertise in engineering and project management, particularly within Agile methodologies, Mihaela excels in driving digital projects from discovery to production. Her leadership promotes team collaboration and exceeds client expectations.
Simone is a machine learning scientist and engineer with experience in academia and enterprises, including Microsoft and Huawei. He likes to work at the intersection of deep machine learning, natural language processing, and information retrieval. Simone also loves to work on exploration analysis and building theoretically sound machine learning pipelines ready for production. He especially enjoys building web products.
Joao is an AI/ML engineer with more than 14 years of experience at Fortune 100 companies like Procter & Gamble and Hearst and startups in the healthcare, energy, and finance industries. Joao holds a master's degree in computer engineering from the University of Porto and has multiple certifications in ML and deep learning.
Charles is an industry leader in healthcare NLP with over a decade of experience as a data-science technical manager. As a player-coach, Charles has led multimillion-dollar projects in health-tech Fortune 500s, such as United Health, Philips, and AstraZeneca. Charles also has a PhD in computational linguistics. With over a dozen publications and patents in his field, Charles is an authority in machine learning for named entity extraction and classification.
Bilal is an experienced data scientist with solid knowledge of machine learning, data analysis, and visualization. He offers more than six years of professional experience in data science, working on projects related to building and deploying machine learning models, extracting insights from data, and managing data. Bilal is passionate about working with teams whose vision aligns with his values and specializations.
Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skill set in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.
With a master of science degree in engineering and a specialization in data science from Telecom ParisTech, Nicolas has been solving concrete business cases for five years using machine learning and data mining. His experience in the eCommerce, banking, and consulting sectors gives him a very strong technology portfolio and a deep understanding of different business types.
With a Ph.D. in physics, a background in mathematics, and over 13 years of experience modeling real-world data, Teresa has the skills to fulfill any data science role. Teresa enjoys working on the whole pipeline from data cleaning and analytics to a final predictive model, especially using machine learning models.
Erekle is a machine learning engineer with extensive research experience. He works passionately to find new ways of pushing the limits of machine learning models. While developing new ideas, Erekle bridges gaps between theoretical concepts and real-life scenarios, bringing innovative research to the industry.
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The University of Southern California innovates a first-of-its-kind scalable AI assistant.
Challenge: Toptal and USC partner to tackle mental health challenges with AI.
Solution: By working with Toptal, USC was able to accelerate delivery and expand the reach of the program. Students using Ask Ari report feeling empowered to better handle their anxiety and stress.
I worked with Toptal for a number of years in three different companies and have always had phenomenal results. Bringing them to the university was just a natural extension of my experience with them. You have somebody who really becomes part of the team.
Kelly Christoffersen
Senior Software Engineer, USC Institute for Creative Technologies
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Ali Faraj
CSO & CTO, Technology Services
Ali is an IT leader and strategist with more than 25 years of experience working for companies such as IBM, Verizon, Thomson Reuters, EXL Services, DXC Technologies, and most recently Cognizant. He has led global teams, building and scaling them to multibillion dollar annual growth. Ali is a turnaround and strategic growth expert, who has led several global initiatives by jumpstarting innovation, growing revenue, advancing capabilities, improving productivity, and leading delivery improvement initiatives. He has worked across verticals and across a wide range of technologies including AI/ML, cloud, ERP, CRM, ITSM, cybersecurity, and others. He holds a BA in Political Science from the University of Illinois (Chicago).
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Read our latest articles and resources to keep you current on emerging trends in artificial intelligence, machine learning, prompt engineering, and more.
Adoption of Gen AI is on the rise, but research suggests that only 10% of companies are successfully scaling their AI initiatives. In this article, an artificial intelligence and data analytics leader explains the key steps organizations must take to achieve their AI ambitions.
Chas Stikeleather is an artificial intelligence and data analytics leader with experience at Bain & Company and Toptal. He has spent most of his career helping Fortune 500 companies, private equity firms, and SMBs across industries to optimize their data. Chas holds a bachelor’s degree in economics from Stetson University and a master’s degree in analytics from North Carolina State University.
Chas is an artificial intelligence and data analytics leader with experience at Bain & Company and Toptal. He has spent most of his career helping Fortune 500 companies, private equity firms, and SMBs across industries get the most out of their data. Chas holds a bachelor’s degree in economics from Stetson University and a master’s degree in analytics from North Carolina State University.