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Delivery Manager
Lauren serves as Toptal’s Senior Director of Managed Delivery with a focus on driving high-impact innovation and implementing cutting-edge technologies across diverse client portfolios, from global startups to Fortune 500 companies. Her expertise in product strategy, program development, and performance optimization contributes to her success in crafting forward-thinking solutions that redefine success in the ever-evolving tech landscape.
Previously Managed Client
Experience
10+ Years
12+ Years
of Experience
Adam has 12+ years of experience as an engineer and two years of experience as a tech lead. 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 nontechnical specialists.
Previously at
13+ Years
of Experience
With a PhD in physics, a background in mathematics, and more than 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, and especially enjoys using machine learning models.
Previously at
9+ Years
of Experience
Mohab is a data scientist and machine learning engineer, specializing in natural language processing (NLP) and computer vision. He has more than nine 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
14+ Years
of Experience
Peter has been a Kubernetes fanatic since the birth of this amazing orchestration tool in 2014. He designs and builds efficient, scalable, and maintainable solutions in Google Cloud Platform. He is an entrepreneur who has helped SMBs, banks, and enterprises save time and money. Peter’s solutions are multi-cloud-ready as he prefers cloud-agnostic options. Peter is also an experienced Python developer, an automation expert, and a Django framework fan.
Previously at
22+ Years
of Experience
Chris is a pioneer in ethical hacking and a Linux systems engineer with multiple certifications and 22 years of experience. He is well-known in ethical hacking and open-source communities and mentioned in books and documentaries. Chris was adding, securing, and auditing networks, servers, and systems before security engineers and DevSecOps existed. His expertise includes network protocols, low-level programming languages like C and Go, Ruby and Python scripts, and many cloud and systems tools.
Previously at
20+ Years
of Experience
Hans is a senior full-stack developer with a master’s degree in computer information systems and more than 20 years of experience delivering software solutions. He is proficient in various stacks, languages, and databases, focusing on full-stack development using the JavaScript stack (React/Node.js), TypeScript, Python, and the Google Cloud Platform, including Firebase. Hans has been a technical lead at startups and Fortune 500 companies like Deutsche Bank, and is a resourceful contributor to any team.
Previously at
27+ Years
of Experience
Anna is a remote project manager experienced in coordinating ground-up planning, design, implementation, and deployment looking for opportunities to help companies realize their ideas. With expertise system analysis and application development, she is skilled in Python, JavaScript, HTML, CSS, and C/C++.
Previously at
14+ Years
of Experience
Javier loves challenges and new technologies. He has a strong background in C++ and Python and the vast Cloud DevOps experience (AWS Certified). He’s worked with large companies such as Intel and Amadeus and for several startups and research-based companies. Javier is currently based in France and can communicate in Spanish, English, and French.
Previously at
24+ 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
12+ Years
of Experience
Rouhollah is a computer engineer with 12+ years of experience in embedded systems, IoT, security, and real-time systems. He has a proven ability to lead teams, develop innovative solutions, and deliver results under pressure.
Previously at
13+ Years
of Experience
Hanee' is a data expert who enjoys working on data analytics and segmentation to better target customers with campaigns. He is an experienced Java developer who has built enterprise applications that interact with millions of customers daily. Hanee' also has experience working with big data, Spark, and Python.
Previously at
6+ Years
of Experience
Dubreu is a Kaggle competition expert and senior data scientist with extensive experience in his field and a proven track record of adding business value to all the projects he’s involved in. In addition, he also teaches data science and Python at various schools and universities. Dubreu enjoys deriving all sorts of insights from all kinds of data.
Previously at
8+ Years
of Experience
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.
Previously at
5+ Years
of Experience
Laurynas has more than five years of professional experience developing web and mobile applications with modern and efficient technologies. He is proficient in a diversified tech stack, including C#, .NET, Node.js, Python, TypeScript, JavaScript, React, and Angular. Laurynas has worked across the financial, e-commerce, video game, and software industries, and is willing to embrace new challenges.
Previously at
5+ Years
of Experience
Dragos is a passionate machine learning engineer with more than 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.
Previously at
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UNRIVALED EXPERTISE
Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.
WHY ORGANIZATIONS CHOOSE US
Discover the cutting-edge benefits our clients enjoy from the global Toptal network.
Toptal industry experts build state-of-the-art data visualization application for oil and gas leader.
Precision Drilling partnered with Toptal to build Clarity, a data visualization platform that cut analysis time from months to seconds.
Challenge: Precision Drilling wanted to develop cutting-edge data visualization software that could accelerate the analysis of drilling rig performance data and provide increased value to its customers.
Solution: Toptal assembled a team of industry experts to help Precision Drilling realize its vision. Leveraging technologies like Python, Azure, and Kubernetes, the team developed Clarity, a state-of-the-art data visualization platform that delivers real-time insights.
Impact: The platform serves as a central hub for real-time and historical rig fleet performance data, significantly boosting efficiency and enabling instant communication of results across the organization.
It wasn’t a customer-vendor relationship; it was more of an integrated relationship.
Shuja Goraya, CTO, Precision Drilling
OUR THOUGHT LEADERSHIP
Read the latest articles and resources to keep you current on emerging trends in Python development.
Data inundates us like never before—how can we hope to analyze it? Graphs (networks, not bar graphs) provide an elegant approach. Find out how to start with the Python NetworkX library to describe, visualize, and analyze “graph theory” datasets.
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