Nikolas Wolfe is a seasoned technology leader and machine learning engineer with 11 years of experience building production ML systems for voice, language, and interactive applications. Currently CTO of Eduling and a machine learning consultant at Mobula AI, he focuses on task-based language learning and practical ML deployments that bridge research and product. His background includes acoustic and semi-supervised modeling for Alexa at Amazon and engineering ML products at Google, grounded in a Language Technologies MS from Carnegie Mellon. He has hands-on experience managing small engineering teams and shipping real-time speech systems for commercial and research partners like Boeing and Disney. Based in Pittsburgh, he pairs applied research instincts with startup pragmatism, often translating complex speech and language models into usable learning tools. An uncommon thread through his career is combining field teaching and product development—from Peace Corps ICT work to classroom-facing language tech—informing his user-centered approach to ML.
11 years of coding experience
14 years of employment as a software developer
Master’s Degree Language Technologies, Master’s Degree Language Technologies at Carnegie Mellon University
Bachelor of Science and Engineering Computer Engineering, Bachelor of Science and Engineering Computer Engineering at University of Florida
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