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Welcome To
Rad Talent

Austin, Texas, USA downtown skyline on the Colorado River..jpg
Services

Our Specializations

Engineering

Data Science & Machine Learning

Information Technology 

About

About 

Meet the dynamic duo behind Rad Talent: Daniel Uhr and Rodrigo Fernandez. With nearly seven years of combined experience in the recruiting industry, they bring passion, expertise, and a shared commitment to connecting outstanding candidates with exceptional clients.

Daniel, as Co-Founder, is driven by his love for technology and his innate talent for fostering meaningful connections. He takes pride in his role as a professional matchmaker, seamlessly linking candidates and clients in a way that enhances careers and organizations alike. Outside of recruiting, you'll find Daniel pursuing an active lifestyle – whether he's hitting the gym, enjoying quality time with his two canine companions at the park, or soaking up the sun on a lake excursion with friends.

Rodrigo, also a Co-Founder, is a seasoned expert in technical recruiting. He shares the same zeal for connecting rad talent with visionary clients, consistently striving for excellence in this ever-evolving field. Outside of work, Rodrigo maintains a strong commitment to a healthy lifestyle, regularly hitting the gym. But he's not all work and no play – you can often spot him at a favorite local Austin hotspot, relishing the company of friends and immersing himself in the city's vibrant atmosphere. And when he seeks moments of tranquility, you'll find Rodrigo at the park, sharing cherished moments with his loyal four-legged companions.

 

Together, Daniel and Rodrigo are the driving force behind Rad Talent, harnessing their expertise, energy, and dedication to be an incredible talent partner and help you tell your story

Daniel Uhr
Recruiter
Co-Founder
Rodrigo Fernandez
Recruiter
Co-Founder
Contact

CONTACT US

Let's Work Together

To learn more about our services or to schedule a consultation, please fill out the form below and we will get back to you as soon as possible.

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