College Dropout to Stanford Lecturer: One Small Footstep at a Time

Goju walks through his actual path into academia, and it is not the story people expect. He started computer science at Colorado State University, dropped out before finishing over a credits dispute after a year and a half of TAing, then came back through community college to complete the degree. He did his masters and doctorate at CU Boulder in computer engineering because he wanted to understand hardware and the whole stack, not just write code. That led to a decade at Intel, teaching neural network architecture as a grad student and adjunct, two years at Penn with one foot in industry and one in research, and finally Stanford in 2022. The point he keeps coming back to is that you do not need a silver spoon or a child-prodigy origin to end up at a place like Stanford or MIT. Goju had humble beginnings, put himself through grad school, and describes the whole thing as a slow burn. His method is small footsteps every day. Get a few small things done, feel good about finishing them, and let it compound. He ties this to exercise as a way to build confidence through evidence rather than affirmations. Exercise is hard and a little painful, but finishing it gives you the dopamine and endorphin payoff, and more importantly it adds to a growing body of proof that you can do hard things. Over time that evidence changes what you believe is possible. Not a jump to the top, just steady footsteps. 🔍 Topics covered: - Goju's path from CSU dropout to Stanford professor - Finishing the CS degree through community college - CU Boulder masters and doctorate in computer engineering - A decade at Intel, then teaching, Penn, and Stanford - Why you do not need a silver spoon or prodigy start - The small-footsteps-every-day mindset - Building confidence from evidence, not affirmations 💬 What small footstep are you taking today that your future self will thank you for? 🔔 Subscribe for grounded tech analysis: https://youtube.com/@gojutechtalk 📺 Related: The Problem With Today's AI (In Simple Language) https://youtu.be/Cl7x2OhbPwU 📺 Related: Good Software Development & the Future of AI for Code (In Plain Language) https://youtu.be/JR22KE6kLMA 📺 Related: The Dangers of Over-Reliance on LLMs and AI https://youtu.be/U1Dhfij4Uy0 #SmallFootsteps #Motivation #Stanford #GradSchool #ComputerScience #CareerPath #Discipline #GojuTechTalk