Thursday
Workshop room 2
13:40 - 14:40
(UTC+02)
Workshop (60 min)
Part 1/2: Developing production-ready apps in collaboration with AI Agents
AI Agents are the next big thing everyone is talking about. They are expected to revolutionize various industries by automating routine tasks, mission critical business workflows, enhancing productivity, and enabling humans to focus on creative and strategic work.
Of course, you can apply them to your everyday coding tasks as well. But just like with any other AI or non-AI-based tool, you need to understand how to use it correctly in order to maximize your benefits.
In this workshop, you'll get to experience AI coding agents first-hand as we collaborate with them in real time to build a production-ready app from scratch. For that, we will use Zencoder, an AI coding agent platform that empowers developers to ship products faster. We will be building the app in Python, and ideally, you already have some programming experience in Python to get the most out of the session. You will also need to bring your laptop with either VSCode or JetBrains (PyCharm) installed.
Alex Shershebnev
Alex Shershebnev is a seasoned Computer Vision and MLOps Engineer with over nine years of experience shaping the future of AI-driven software development. Currently, Alex leads the ML/DevOps team at Zencoder, where he leverages his extensive background in Software Engineering, ML and DevOps to deliver high-quality machine learning solutions. His work spans complex data pipelines, cloud infrastructure management (GCP, Kubernetes), and advanced ML/DevOps pipelines, ensuring scalability and efficiency. Before Zencoder, Alex played pivotal roles in numerous projects, including leading teams at Sanas, ivi and MTS AI. His technical expertise in machine learning, data science, and bioinformatics has led to impactful solutions across industries, ranging from bioinformatics at the University of Massachusetts to video analysis at ivi.ru and MTS AI. Alex has a proven track record of managing complex infrastructure that scales to hundreds of GPUs, enabling effective and easy use of cloud infrastructure for data scientists while driving down costs through cloud consolidation efforts and boosting productivity through the deployment of sophisticated AI models. In addition to his technical contributions, Alex has been instrumental in mentoring teams and fostering a culture of innovation and collaboration. His deep understanding of AI systems, from developing recommendation engines to cutting-edge computer vision algorithms to voice and NLP, positions him as a thought leader in the AI and ML space. Whether it’s speaking on the latest advancements in MLOps, sharing insights on AI-driven automation, or discussing the future of AI in the enterprise, Alex brings a wealth of knowledge, practical experience, and a passion for pushing the boundaries of what’s possible with AI.