Hire the Top 3% of Freelance Computational Fluid Dynamics Engineers

Toptal is a marketplace for dedicated Computational Fluid Dynamics Engineers. Top companies and startups choose Toptal Computational Fluid Dynamics freelancers for their mission-critical development projects.

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Hire Freelance Computational Fluid Dynamics Engineers

Andreas Freund

Freelance Computational Fluid Dynamics Engineer
United StatesToptal Member Since October 5, 2022

Andreas holds a PhD in applied math and has shown through his research and work experience a passion for using scientific computing to drive data-informed, impactful results. He wrote a thesis in the field of computational fluid dynamics and published two papers in high-impact journals as the first author. Most recently, Andreas has analyzed remote diagnostic data in the trucking industry to improve the performance of diesel engines.

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Rob Wray

Freelance Computational Fluid Dynamics Engineer
CanadaToptal Member Since March 26, 2021

Robert has over 30 years of experience programming, with 25 years developing object-oriented Java programs. As a professional mechanical engineer specializing in fluid dynamics, finite element analysis, and mathematics, he has developed simulations and used computer-aided design principles to improve industrial and lab-scale manufacturing processes. Robert has developed software to interact with novel sensor technologies, including X-ray machines, colorimeters, PLCs, and laser-based sensors.

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Charles Cook, Ph.D.

Freelance Computational Fluid Dynamics Engineer
United StatesToptal Member Since July 29, 2014

Charles has a Ph.D. in aerospace engineering and spent three years developing custom data processing and analysis programs for NASA. He specializes in scalable, enterprise-level application development and engineering solutions for exceptionally high throughputs. He is also the founder and owner of GreatVocab.com, for which he developed the core system using novel concepts in data analysis and control theory.

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Liang Kuang

Freelance Computational Fluid Dynamics Engineer
United StatesToptal Member Since July 17, 2020

Liang has a Ph.D. with a strong background in numerical computation, machine learning, deep learning, neural network, big data mining, visualization, and multiple programming. He developed the largest financial regulatory database in the world and a Consolidated Audit Trail (CAT), handling up to 400 billion records per trade day. He brings deep technical insights in designing algorithms and end-to-end analytic platforms, including data lakes and predictive ML/AL models for system optimization.

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Maxwel Dsouza

Freelance Computational Fluid Dynamics Engineer
IndiaToptal Member Since April 9, 2021

Maxwel has been programming for eight years. He got interested in programming as a research scholar and chose a career in software development instead of his Ph.D. in mechanical engineering. He then worked as a full-stack developer at one of India's largest event ticketing companies, where he was a top performer throughout.

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Laurence Cullen

Freelance Computational Fluid Dynamics Engineer
United KingdomToptal Member Since April 10, 2019

Laurence is a machine learning engineer and founder of venture-backed startup Vanellus, developing accelerated physics simulations. Laurence combines extensive experience executing and deploying R&D heavy machine learning projects with six years of industrial software engineering. His machine learning experience ranges from LLMs and computer vision to audio synthesis and cutting-edge approaches to accelerate numerical programming problems.

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Asad S. Hussain, PhD, CFA

Freelance Computational Fluid Dynamics Engineer
United KingdomToptal Member Since July 25, 2022

Asad has a doctorate in physics and specializes in nuclear fusion, theoretical fusion materials, and plasma fluid dynamics. He also holds a master's degree in engineering and a postgraduate diploma in mathematics and is a Chartered Financial Analyst (CFA). Asad has been applying his knowledge to developing models in automated pricing processes and statistical analysis of financial markets.

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Mustafa Yılmaz

Freelance Computational Fluid Dynamics Engineer
TurkeyToptal Member Since May 11, 2022

Mustafa is a dedicated developer with more than six years of experience working on scalable B2B and B2C products. His background in interdisciplinary engineering is one of his strongest suits. He loves working on the front-end side of the development cycle, especially with React and its ecosystem. Mustafa is also experienced with back-end technologies such as JavaScript, Express.js, NestJS, Python, and Django.

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Suman Debnath

Freelance Computational Fluid Dynamics Engineer
IndiaToptal Member Since February 14, 2015

Suman has been building web applications on various platforms, including Ruby, JavaScript, and PHP, for over a dozen years. He has led the rescue and development of multiple data-intensive, high-traffic applications that leverage cloud platforms like Heroku and AWS. Suman's more well-known works are the NDTV website, which recently registered over 13 billion hits in a single day, and the financial information portal NDTV Profit.

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Ahmad I. Elawady

Freelance Computational Fluid Dynamics Engineer
EgyptToptal Member Since October 21, 2021

Ahmad is a machine learning researcher and engineer with a passion for building solutions from scratch. He is interested in formulating the thinking process of SMEs as machine learning solutions. During his two years of work experience, Ahmad developed machine learning solutions for different sectors, including a document layout extraction and image inpainting solution and a sophisticated system to find chemical synthesis plans.

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João Filgueiras

Freelance Computational Fluid Dynamics Engineer
PortugalToptal Member Since July 8, 2014

João is an accomplished researcher, AI expert, and data scientist with a special talent for breaking down large problems into solvable pieces. His background both in R&D and the industry gives him the edge in implementing state-of-the-art solutions while keeping practicality in mind.

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I am more than pleased with our experience with Toptal. The professional I got to work with was on the phone with me within a couple of hours. I knew after discussing my project with him that he was the candidate I wanted. I hired him immediately and he wasted no time in getting to my project, even going the extra mile by adding some great design elements that enhanced our overall look.

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Toptal understood our project needs immediately. We were matched with an exceptional freelancer from Argentina who, from Day 1, immersed himself in our industry, blended seamlessly with our team, understood our vision, and produced top-notch results. Toptal makes connecting with superior developers and programmers very easy.

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As a small company with limited resources we can't afford to make expensive mistakes. Toptal provided us with an experienced programmer who was able to hit the ground running and begin contributing immediately. It has been a great experience and one we'd repeat again in a heartbeat.

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How to Hire Computational Fluid Dynamics Engineers Through Toptal

1

Talk to One of Our Industry Experts

A Toptal director of engineering will work with you to understand your goals, technical needs, and team dynamics.
2

Work With Hand-Selected Talent

Within days, we'll introduce you to the right Computational Fluid Dynamics engineer for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new Computational Fluid Dynamics engineer for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.

FAQs

  • How are Toptal Computational Fluid Dynamics engineers different?

    At Toptal, we thoroughly screen our Computational Fluid Dynamics engineers to ensure we only match you with talent of the highest caliber. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut. You’ll work with engineering experts (never generalized recruiters or HR reps) to understand your goals, technical needs, and team dynamics. The end result: expert vetted talent from our network, custom matched to fit your business needs.

  • Can I hire Computational Fluid Dynamics engineers in less than 48 hours through Toptal?

    Depending on availability and how fast you can progress, you could start working with a Computational Fluid Dynamics engineer within 48 hours of signing up.

  • What is the no-risk trial period for Toptal Computational Fluid Dynamics engineers?

    We make sure that each engagement between you and your Computational Fluid Dynamics engineer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another expert who may be a better fit and with whom we will begin a second, no-risk trial.

Tap Into World-Class Talent

  • Trusted Experts Only

    Trusted Experts Only

    All of our talent are seasoned experts who ramp up quickly, readily contribute as core team members, and work with you to minimize onboarding time.

  • The Right Fit

    The Right Fit

    We have a knack for matching you with the right fit. Start working with your new hire on a no-risk trial period, paying only if satisfied.

  • Scale as Needed

    Scale as Needed

    Hire talent within 48 hours and scale your team up or down as needed, no strings attached.

  • Seamless Hiring

    Seamless Hiring

    We handle all aspects of billing, payments, and NDA’s. Let us take care of the overhead while you focus on building great products.

  • Flexible Engagements

    Flexible Engagements

    Choose the engagement type that suits your needs — hourly, part-time, or full-time — with the ability to change anytime.

  • Expert Talent Matching

    Expert Talent Matching

    Focus on your project and enjoy support from your dedicated account executive and expert talent matcher.

Top Computational Fluid Dynamics Engineers Are in High Demand.

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