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Get a Free Consultation NowOur machine learning consulting experts, with experience at leading companies, develop and deploy tailored solutions to meet your business needs and unique industry demands for sustainable results and long-term success.
CEO, Technology ServicesAs Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.
Previously At
CEO, Technology Services
As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 100 manufacturers.
Previously at
Technology Experience
35+ Years
Delivery Manager
Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.
Previously Managed Client
Experience
9+ Years
14+ Years
of Experience
With an engineering degree, two master's degrees that include an MBA, and the ability to speak four languages, Adrian has delivered as a PM in North America, LATAM, and Europe on multiple innovation initiatives, including software development, AI strategy, project delivery, executive coaching, etc. He has extensive experience in technical and business roles and has worked in several industries: telecom, cloud, supply chain, fintech, IT, etc.
Previously at
13+ Years
of Experience
Adam has 13+ years of experience as an engineer and two years of experience as a tech load. His tools of choice include Python 3, Snowflake, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to communicate effectively with both highly technical and non-technical specialists.
Previously at
13+ Years
of Experience
David has extensive experience in building machine learning and deep learning (DL) solutions at top companies, including Apple, Google, and Facebook, unicorn startups, and academia, as he has a PhD from Carnegie Mellon U. He holds multiple patents in DL-based medical imaging tech and large-scale AI systems. David has grown an AI team to 60+ as the director and tech lead.
Previously at
13+ Years
of Experience
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.
Previously at
7+ Years
of Experience
Karanpreet is an experienced data engineer with a solid background in working with multiple leading international enterprise clients across the retail and investment banking domain.
Previously at
6+ Years
of Experience
Dragos is a passionate machine learning engineer with six 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.
Previously at
23+ Years
of Experience
Along with earning a PhD in computer science and engineering, Dilip has over a decade 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.
Previously at
14+ Years
of Experience
With a Ph.D. in physics, a background in mathematics, and 14 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.
Previously at
16+ Years
of Experience
Joao is an AI/ML engineer with over 16 years of experience working with Fortune 100 companies such as Procter & Gamble and Hearst, as well as innovative startups in healthcare, energy, and finance. He holds a master's degree in computer engineering and has earned multiple certifications in machine learning and deep learning. Joao's diverse expertise across various industries and technologies, including ChatGPT and DeepSeek, underscores his versatility and high skill level.
Previously at
10+ Years
of Experience
Mohab is a data scientist and machine learning developer, specializing in natural language processing (NLP) and computer vision. He has five years of professional experience, and recent projects have focused on machine learning in the areas of natural language understanding (NLU), cheminformatics, and self-driving cars. Mohab stays current with cutting-edge advancements in deep learning.
Previously at
18+ Years
of Experience
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.
Previously at
13+ Years
of Experience
Daphne is a highly motivated big data analytic architect and SQL/Tableau developer with strong business analytic solution delivery skills and 13 years of progressively responsible OLTP/OLAP database development/architecture experience. She is a frequent seminar speaker and workshop trainer in business intelligence and analytic solutions. Daphne is experienced collaborating with business users in data modeling and business analytic solutions.
Previously at
21+ Years
of Experience
Since 2014, Matthew has been working professionally in the fields he loves, software and data—culminating in him co-founding the Rubota corporation in 2017. Before that, he spent the past decade at Cornell University conducting scientific research specifically in statistical and biological physics. All in all, Matthew is an engaging, intense communicator with a passion for knowledge and understanding.
Previously at
17+ Years
of Experience
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. Known for fostering innovation and improving processes, she thrives on challenges. Her mastery of Generative AI, enriched by courses like "Prompting for AI Operations" and "ChatGPT Advanced Data Analysis," places her at the industry forefront.
Previously at
8+ Years
of Experience
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.
Previously at
Looking for guidance about the perfect machine learning consulting service for your needs?
Looking for guidance about the perfect machine learning consulting service for your needs?
UNRIVALED EXPERTISE
Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.
Discover the cutting-edge benefits our clients enjoy from the global Toptal network.
Challenge: Bruno Scarselli, a third-generation diamond dealer, needed to create a platform that could issue cryptographic titles of authenticity, origin, and ownership for gems. He was unsure of the technical requirements, particularly around blockchain development, and faced a complex path to execution.
Solution: The team followed a rigorous project management timeline focused on rapidly delivering Scarselli’s most needed features, delivering a working MVP in just 14 weeks. The platform leverages a React/Node.js infrastructure to support an Ethereum-based blockchain protocol. The system uses a robust AWS infrastructure, including IAM, S3, CloudFront, Lambda, Aurora Serverless, KMS, SES, CloudFormation, EKS, and EC2 to ensure scalable, secure, and efficient service delivery.
Outcome: Thanks to the team’s rapid execution, Scarselli attracted his first 50 diamond-industry customers mere months after ideating on his product vision. For technology startups, this rapid speed to market is critical for both short- and long-term success.
Bruno Scarselli
Managing Partner at Scarselli Diamonds Founder
Newsweek and Statista’s rankings were based on an independent survey of more than 2,400 decision-makers at Fortune 500s.
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Highest ranked across all industries
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Methodology for the Rankings
How likely the respondent is to recommend the selected company to others.
Measures the convenience of interaction with the company and efficiency of processes.
Measures the company’s cost-effectiveness and quality relative to price.
Measures whether the company consistently meets or exceeds expectations in quality and timeliness of deliverables.
Measures the company’s ability to consistently fulfill commitments and maintain customer trust.
Industry Insights
Read the latest articles and resources to keep you current on emerging trends in machine learning consulting, predictive analytics, deep learning models, and more.
How do you approach machine learning problems? Are neural networks the answer to nearly every challenge you may encounter? In this article, Toptal Freelance Python Developer Peter Hussami explains the basic approach to machine learning problems and points out where neural may fall short.
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