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When starting out in the tech industry, it’s easy to assume there’s a clear, straight-line path to success. You study hard, land a job, and work your way up the ladder—or so you’re led to believe. The reality is far more complex, and often, more rewarding than you might expect.

The Myth of the Straight Path

Earning a degree or certification builds a foundation, but it rarely shows you the full landscape of opportunities that exist across industries like private sector tech, government, or academia. Most programs don’t teach you how organizations actually operate or reveal the wide range of roles that make technology work behind the scenes.

You may notice some peers start their careers on the help desk, while others jump straight into analytics, testing, or operations. Rarely do these starting points look the same, and they often don’t converge until much later in your career. What works for one person may not work for another—and that’s perfectly normal.

The Value of Adaptability

One of the most important lessons in tech is learning to hone your own skill set. It’s not just about the technologies you study in school or the first job you land. It’s about being nimble, developing a mindset of lifelong learning, and embracing the constant evolution of tools, languages, and platforms.

New opportunities often arise in places you didn’t expect. You might shift from coding to architecture, from analysis to operations, or from implementation to strategy. Being open to learning different tool sets, taking on new challenges, and stepping outside your comfort zone is what will keep you moving forward.

Your Path Is Unique

It’s often not until you look back on your journey that you realize how all the twists and turns connected. Every project, every team, every new tool you’ve learned has helped shape your professional growth. No two paths are alike, and that’s what makes the industry so exciting.

Keep an open mind. Stay curious. Listen to the experiences of others, but don’t be afraid to carve your own way. The best opportunities are sometimes the ones you never saw coming.


Dan Sanabria, Ph.D. (Candidate)

This article was written by Dan Sanabria, an AI Research Scientist.

Daniel Sanabria is an AI Research Scientist with a wealth of experience in artificial intelligence (AI), machine learning, and natural language processing, with a primary focus on applying these technologies to the frontier of space exploration. With a solid background in software engineering, data science, and advanced AI techniques, Daniel’s work is grounded in innovative approaches to solving some of the most complex challenges in space robotics.

His current research, as outlined in his dissertation "Traversing Mars: A Rover and AI Experience", explores the integration of AI-driven systems for autonomous operation of rovers and drones on Mars. His research seeks to leverage advanced AI techniques such as machine learning, neuromorphic computing, and quantum computing to overcome the harsh environmental constraints of Mars, such as communication delays, power limitations, and extreme terrain.

The dissertation explores interdisciplinary strategies that combine AI, physics, neuroscience, and engineering to enhance robotic autonomy, focusing on AI’s role in optimizing decision-making processes for Mars-based rovers and aerial drones. Daniel’s work is contributing to the future of autonomous exploration beyond Earth, making AI-driven systems capable of operating independently in extraterrestrial environments.

With over a decade of experience in technology and AI, Daniel is deeply committed to pushing the boundaries of AI and space exploration. He is driven by the belief that AI will be a key enabler in the next era of space missions, allowing us to explore other planets with greater autonomy, efficiency, and precision.

Education

  • PhD in Artificial Intelligence, Capitol Technology University, 2025

  • MS in Computer Science with Concentration in Artificial Intelligence, Lewis University, 2022

  • BS in Computer Science, Rasmussen University, 2020

  • AS in Application and Software Development, Rasmussen University, 2019

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