Summary
Alexander Tekle is a machine learning software engineer blending research depth with production impact across AI and payments platforms. Based in San Francisco, he currently contributes to Gemini Post-Training at Google DeepMind and to Google Payments, reflecting a broad scope within the Google ecosystem. With a 9-year engineering track record and a BS in Computer Engineering and Mathematics from UT Austin, he builds on a rigorous math and CS foundation. His early work includes NLP and computational linguistics research under Dr. Jessy Li at UT Austin, and he was selected as one of 350 Career Prep Fellows for an 18-month professional development program. He pursues passions in deep learning, NLP, and stochastic processes, aiming to translate research insights into scalable, real-world systems in the San Francisco Bay Area.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Engineering and Mathematics, Fourth Year, Bachelor's degree, Computer Engineering and Mathematics, Fourth Year at Cockrell School of Engineering, The University of Texas at Austin
English, Spanish