Valentina Ievleva serves as a Senior Director of AI/ML Consulting at EPAM Systems, where she leverages her extensive experience in applied data science to drive innovation across the Consumer Packaged Goods (CPG), Retail, and Manufacturing sectors. With two decades of expertise in crafting strategic solutions...
Valentina Ievleva serves as a Senior Director of AI/ML Consulting at EPAM Systems, where she leverages her extensive experience in applied data science to drive innovation across the Consumer Packaged Goods (CPG), Retail, and Manufacturing sectors. With two decades of expertise in crafting strategic solutions that deliver tangible value, Valentina is at the forefront of integrating composable architecture principles into AI solution design. Her leadership has been instrumental in advancing several Generative AI (GenAI) projects beyond the Minimum Viable Product (MVP) stage, successfully transitioning them into full-scale production environments.
Valentina's passion for research and her ability to harness emerging technologies position her as a thought leader in the ethical and strategic application of AI and machine learning. She provides executive advisory services on these topics, helping organizations navigate the complexities of AI implementation while ensuring alignment with ethical standards and business objectives. Her skills in embedded software, R&D, and MLOps complement her strategic vision, enabling her to lead cross-functional teams effectively and foster collaboration among senior stakeholders.
In her role, Valentina continually seeks opportunities to learn and innovate, embodying a mindset that embraces change and challenges the status quo. Her commitment to business process improvement and supply chain optimization through advanced AI solutions not only enhances operational efficiency but also drives sustainable growth for her clients. As she pushes the envelope in AI/ML consulting, Valentina remains dedicated to building transformative solutions that resonate with both organizations and consumers alike.