
Dmitry Sergeenko
Project Manager | Office of the CEO

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About me
ML Project Manager | Driving Innovation and Business Growth
Education

IT Academy
2017 - 2017Business Analyst Бизнес-анализ в области разработки программного обеспеченияИзучение методик и инструментов анализа требований к ПО, расчет бизнес-критериев успешности проекта, выбор моделей монетизации, разработка IT-продукта по методологии Agile, вывод IT-решений на глобальный рынок. Управление жизненным циклом продукта.

London Business School
2019 - 2019Brand Manager Digital Brand ManagementActivities and Societies: Brand Purpose & User Experience;Brand Design & Delivery;Brand Leadership and Alignment;Brand Practices & Engagement

Stanford Continuing Studies
2020 - 2020Product Manager Software Product Management A+- Market Research, Product Strategy and Validation- Personas, Empathy Maps, Qualitative User Research, and Customer Development- Product Design: Design Principles, Frameworks, Designing for Validation, Design Hacks- Design Techniques (Wire-framing, Sketching, Prototyping, Storyboarding), MVP, Measuring Designs- Metrics, KPIs, Analytics- Product Vision, Strategy, and Roadmap- Agile Product Development- Product Launch, Growth Hacking

University of Alberta
2017 - 2018Product Manager Software Product Management 95Program focuses on the principles and practices of efficient and effective software development. Use of Agile framework. Software Processes and Agile PracticesClient Needs and Software RequirementsAgile Planning for Software ProductsReviews & Metrics for Software ImprovementsSoftware Product Management Capstone
Experience

Wargaming
Jan 2017 - Dec 2022Project Manager | Office of the CEOLed and executed high-profile AR/VR initiatives. With a focus on the Asia-Pacific region, I managed Business Development, Product launches, and Strategic Partnerships, bringing MR gaming experiences to new markets.Collaborated with teams to developed apps for VR, Mobile and Mixed Reality devices, using cutting-edge devices like Spatial computing smart glasses Microsoft HoloLens 2, and Magic Leap.Key Projects & Accomplishments:1. World of Tanks VR – Business Development Lead • Project Goal: Launch the location-based World of Tanks VR game in Japan. • Partnership Management: Built and nurtured relationships with VR amusement parks and studios in Japan.Key Achievements: • Led negotiations and contract management for partnerships in Tokyo and Hiroshima amusement parks. • In July 2019, launched the World of Tanks VR version, along with a branded café collaboration and a successful digital media PR campaign to grow the game’s VR audience in Japan.2. AR project – Lead Product Manager • Project Goal: Develop a Web AR application that allows users to create animated AR-experience. • Product Development: Design, development, and testing of the Web AR application.Key Achievements: Successfully led focus group testing as part of an UX Lab campaign, optimizing the application for future public release.3. Real-Time Audio-Based Lip Sync App – Lead Project Manager • Project Goal: Develop an iOS and Android application that offers real-time audio-based lip sync, enabling users to create 2D characters with facial movements. • Product Delivery: Managed the full development lifecycle from ideation to deployment.Key Achievements: Successfully launched the app on both platforms, allowing users to create audio-based 2D characters and share them across social media platforms.4. Collaboration with VR Academy Tokyo – Team Lead • Project Goal: Share Mixed Reality (MR) knowledge at professional events and meetups in Tokyo with young developers and designers. Show less

InData Labs
Dec 2022 - nowML Project ManagerExecution and delivery of cutting-edge AI and ML solutions. My role focuses on aligning AI-driven innovations with organizational goals, managing cross-functional teams, and delivering scalable, impactful solutions to clients worldwide.Key Responsibilities: • End-to-End Project Management: Lead the planning, development, and deployment of projects from inception to completion, ensuring timely delivery and alignment with client objectives. • AI/ML Solution Design & Implementation: Collaborate with Data scientists and ML engineers to design, build, and deploy AI solutions that drive Business insights, enhance decision-making and improve operational efficiency. • Client & Stakeholder Engagement: Act between clients, stakeholders, and technical teams, translating complex AI/ML solutions into business-friendly terms to foster clear communication and align expectations. • Team Leadership & Collaboration: Manage cross-functional teams of developers, data scientists, and ML engineers, promoting a collaborative work environment and ensuring projects meet both technical and business objectives. • Agile & Scrum Methodologies: Utilize Agile project management frameworks to enhance collaboration, optimize workflows, and ensure iterative project delivery that meets dynamic business needs.• Innovation & continuous Improvement: Stay at the forefront of AI/ML trends and industry best practices, continuously improving project methodologies. • Risk Mitigation & Resource Allocation • Cross-Industry ExpertiseAchievements: • Delivered solutions that reduced development costs by up to 25% by automating Business processes and enhancing data-driven decision-making. • Spearheaded projects that resulted in a 30% improvement in operational efficiency through advanced algorithms. • Managed the implementation of improvements that increased product recommendations, customer targeting, and sales forecasting for retail clients. Show less
Licenses & Certifications
- View certificate

AI Agents Fundamentals
Hugging FaceMar 2025
Languages
- руРусский
- беБелорусский
- enEnglish
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