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Bratislav Svetozarevic is a seasoned technology executive and visionary leader with extensive experience in artificial intelligence, machine learning, software architecture, and product development. He has a proven track record of building and leading high-performing engineering teams, driving innovation, and delivering impactful technological solutions that solve complex business problems. Bratislav is adept at translating strategic business objectives into robust technical roadmaps and is passionate about leveraging cutting-edge technologies to create value. His expertise often encompasses areas like MLOps, scalable system design, and fostering a culture of engineering excellence.
Bratislav Svetozarevic's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led and scaled technology departments, aligning engineering efforts with overarching business goals to drive growth and market differentiation. Implemented best practices in software development and operations.
Spearheaded the development and deployment of innovative AI and Machine Learning-powered products and platforms, delivering significant improvements in efficiency, user experience, or new revenue streams.
Recognized for building, mentoring, and empowering world-class engineering teams, fostering a collaborative and innovative environment conducive to high performance and professional growth.
Contributes to the tech community through articles, conference talks, or workshops, sharing insights on practical applications of AI, MLOps, and modern software engineering principles.
ETH Zürich - Year 2014
University of Belgrade - Year 2008
University of Belgrade - Year 2004
Mathematical Gymnasium , Belgrade - Year 2000
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Zurich Soft Robotics AG is a deep-tech startup developing and commercializing novel soft robotic gripping technology. Their solutions, inspired by nature, enable robots to pick and place a wide variety of objects, including delicate, irregularly shaped, or easily deformable items, which traditional rigid grippers struggle with. This technology is aimed at automating complex handling tasks in industries such as logistics, food processing, packaging, and manufacturing, enhancing efficiency and versatility in robotic applications.
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