Jeff Alexander

Jeff is Fresh’s Chief Science Officer and an innovator with over 20 years of engineering experience. Prior to Fresh, Jeff founded SiTech Research Test and Development, a comprehensive product development and test systems solution provider whose clients included Philips, Universal Electronics, and Fortune 100 companies.

Jeff’s career spans nearly a decade at Microsoft where he helped develop successful products like the original Xbox and the Xbox Kinect; as well as stints as Principal Hardware Architect at Nokia, developing innovative IoT products and image sensors; and as a lead engineer at LaserMotive, where he played a primary role in the design of a laser targeting and delivery system which won an award from NASA.

He holds a BSEE from University of Alaska Fairbanks.

Full bio

Expertise, Hardware, Manufacturing Automation

Manufacturing in an Automated Future

The United States is experiencing a resurgence in manufacturing; the sector has been growing year over year and the need to sustain output demands and gains in efficiencies is fueling increases in manufacturing capital investments. 2016 marked a turning point where more new manufacturing jobs were created by companies moving production back to the US
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Autonomous Mobile Robots, Expertise, Hardware, Robotic Software Development, Robotic Systems Integration

The Value of Robot-Centered Design

Designers, developers, and engineers have spent vast amounts of time and effort understanding how humans interact with technology. Human-Centered Design The study of human factors guides our knowledge of how our behaviors, beliefs, education level, and past experiences influence how we accept and work with digital tools. Those who create computers, mobile devices, software, hardware,
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AI/Machine Learning, Expertise, Software

The Current State of Edge Computing

Throughout the history of computers, data processing workloads have migrated from company premises to outside data centers to cloud repositories and now to “edge” locations. Why the shift, you might ask? To strengthen the reliability of apps and digital services, reduce costs of running data centers, and lessen the distance information has to travel. That
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AI/Machine Learning, Autonomous Mobile Robots, Expertise, Hardware, Product Development, Software

Autonomous Vehicles – What Should You Expect?

Thanks to modern computing systems, autonomous vehicles have transitioned from the drawing board to the road very quickly. Aside from being immensely convenient and much safer than cars today, self-driving vehicles will affect the way we view transportation, get our work done, reach consumers, transport goods, spend money, and structure cities. As car ownership gives
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Autonomous Mobile Robots, Expertise, Hardware, Product Development, Product Strategy, Strategy

Why Planning for an Autonomous Workplace Matters

Robot technology is now sophisticated enough to allow companies to fully or partially automate many of their routine tasks. As a result, developers, engineers, and managers have to start thinking about which different strengths and weaknesses robot and human workers bring. As robots integrate into more workplaces in the future, companies must revisit how to
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Expertise, Product Strategy, Strategy

The Challenges of Human Augmentation

In Chris Anderson’s book, Makers, he writes: “Computers amplify human potential: they not only give people the power to create but can also spread their ideas quickly, creating communities, markets, even movements.” We’ve witnessed over the past several decades how much of an impact computerizing our world can have. While the concept may seem intimidating
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