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From AI consulting to product development, Toptal’s Generative AI services equip you with the talent and expertise you need to harness AI for enhanced productivity and cost efficiency.
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Get a Free Consultation NowOur generative AI team, with experience at leading companies, will work with you to develop and deploy tailored solutions that meet your business needs and unique industry demands for sustainable results and long-term success.
Delivery Manager
Dave is a Toptal Delivery Manager with a focus on AI and data engineering projects. He’s led support and development teams to multimillion dollar successes, and has transitioned professional service teams to Agile methodology. His expertise in AI and data engineering ensures project deliveries are both innovative and exceptional.
Previously Managed Client
Technology Experience
15+ Years
10+ Years
of Experience
Adrian is a leading generative AI expert and two-time O’Reilly book author who led 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 LF AI & Data Trusted AI Committee 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.
Previously at
22+ Years
of Experience
Subbu is a subject matter expert in information security and has more than 22 years of information technology experience. He has assisted large enterprise customers in the banking, telecommunication, and e-commerce sectors with security transformation, DevSecOps, security architecture, and implementations. Subbu’s security expertise includes AWS, GCP, IAM, enterprise security, data protection, and application security and compliance.
Previously at
9+ Years
of Experience
Lorenzo is a senior software engineer experienced in building robust and scalable applications. He has worked at BMW Innovation Labs, CynaxLabs, DP World, Interjoin, and Deloitte, where he took responsibility for finding solutions to emerging challenges and implementing them seamlessly. With a background in mechanical engineering, Lorenzo is a critical thinker and a skillful software and AI developer eager to embrace new experiences.
Previously at
20+ Years
of Experience
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.
Previously at
5+ 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 domains. Combining her strong technical and soft skills with a rigorous knowledge of extract, transform, and load (ETL) design and data analytics, Karanpreet is also passionate and curious about the latest tech trends and always open to learning new things.
Previously at
9+ Years
of Experience
Noelia is a passionate software engineer with 8+ years of experience. What sets her apart is her ability to ramp up with new technologies and quickly utilize her problem-solving skills. She thrives on new challenges and enjoys pushing herself to learn and grow. She is enthusiastic about mentoring junior developers and helping them unlock their full potential. She loves proposing new ideas, wearing many hats, and collaborating closely with colleagues in different areas to achieve success.
Previously at
15+ 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 such as “Prompting for AI Operations” and “ChatGPT Advanced Data Analysis,” places her at the industry forefront.
Previously at
10+ Years
of Experience
Charles is an industry leader in healthcare NLP with more than a decade of experience as a data science technical manager. As a player-coach, Charles has led multimillion-dollar projects at healthtech Fortune 500s, such as UnitedHealth Group, Philips, and AstraZeneca. Charles also has a PhD in computational linguistics. With more than a dozen publications and patents in his field, Charles is an authority in machine learning for named entity extraction and classification.
Previously at
15+ Years
of Experience
Christine is a distinguished product leader specializing in AI, cloud computing, and advanced modeling. She led a major financial company’s postmerger enterprise-wide transformation and a $1.5 billion cloud deal. As a product director, Christine oversaw the creation of a large-scale SaaS investment management platform for high-net-worth clients. At top financial institutions such as Goldman Sachs and JP Morgan, she designs client-facing solutions focusing on data and process automation.
Previously at
15+ 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, NLP, 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
14+ Years
of Experience
Joao is an AI/ML engineer with more than 14 years of experience at Fortune 100 companies like P&G 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.
Previously at
12+ Years
of Experience
Filip is an AI 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
15+ Years
of Experience
Abhimanyu is a machine learning expert with 15 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.
Previously at
25+ Years
of Experience
Anthony is an analytical and resourceful leader with more than 25 years of experience in data engineering, database development, and process design and development. He has deep experience in the financial services industry and a keen ability to understand business and data requirements and customize value‐added applications. He’s known for his expert skills in operations and risk management. Anthony is poised and intellectually curious, with executive-level written and verbal communication skills.
Previously at
5+ Years
of Experience
Daniel is a data engineer and architect specializing in Azure’s cloud services. He’s keen on collaborating with data analysts and data scientists to provide them with accurate data for dashboards and experiments, leveraging his clear communication skills and problem-solving mindset. As a certified Azure data engineer and a Databricks data engineering professional, Daniel’s tech stack includes Databricks, Azure Data Factory, Azure Synapse, Azure Analysis Services, and Microsoft Power BI.
Previously at
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UNRIVALED EXPERTISE
Members of our top-tier talent network, with experience at the world’s leading companies, bring valuable insights and expertise to ensure world-class outcomes.
AI SOLUTIONS DELIVERED TO 1,700+ CLIENTS
Toptal has a long-standing track record in AI, including a landmark project with USC—a leading institution in AI thought leadership.
USC innovates a first-of-its-kind scalable AI assistant.
Challenge: Toptal and USC partner to tackle mental health challenges with AI.
Impact: By working with Toptal, USC was able to accelerate delivery and expand the reach of the Ask Ari mental health program. Students using the program 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
OUR THOUGHT LEADERSHIP
Read our latest articles and resources to keep you current on emerging trends in artifical intelligence, machine learning, prompt engineering, and more.
Natural language processing (NLP) has become one of the most researched subjects in the field of AI. This interest is driven by applications that have been brought to market in recent years. In this article, Toptal Deep Learning Developer Maximilian Hopf introduces you to Google Natural Language API and Google AutoML Natural Language.
Read MoreAs a data scientist, Cody has used tools including Python and R to explore and deploy analyses on genetic, healthcare and other data sets.
Micah is a digital designer who has worked with clients such as Google, Deloitte, and Autodesk. He is also the Lead Editor of Toptal’s Design Blog. His design expertise has been featured in *Fast Company*, TNW, and other notable publications.
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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