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Alex Shershebnev is a seasoned AI engineer and technology leader with over a decade of experience in AI, DevOps and MLOps. He is currently Lead DevRel at Zencoder, an AI coding assistant, and one of the founding members of the company, where he has spent the last two years shaping both the product and its developer ecosystem. Alex has spoken at more than 50 international conferences, establishing himself as a recognized voice on AI for coding, secure and responsible use of AI in software development, and the future of developer workflows.
At Zencoder, Alex has led ML/DevOps and infrastructure initiatives focused on building scalable, production-grade AI systems. He brings deep expertise in software engineering, cloud infrastructure (GCP, Kubernetes), large-scale GPU platforms, and end-to-end ML/DevOps pipelines that enable data scientists to iterate quickly while reducing operational complexity and cost.
Before Zencoder, Alex held key technical leadership roles at companies like Sanas, ivi, and MTS AI, working across domains including bioinformatics, video analysis, voice, NLP, and recommendation systems. His background ranges from academic research at the University of Massachusetts to designing and operating complex cloud infrastructures that scale to hundreds of GPUs.
Combining deep hands-on engineering experience with a strong focus on developer experience and community building, Alex is known for translating complex technical challenges into clear, actionable insights. Whether speaking about DevOps and MLOps at scale, AI-powered developer workflows, or lessons learned from building real-world AI platforms, he brings a unique combination of technical depth, industry experience, and passion for building systems and communities that scale.
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