ROMAN EMREIS

Implemented structured execution processes in chaotic environments, facilitating smooth project execution at scale and reducing project delivery times by 20%.

Pioneered integration of ML models with the construction costs calculation process, increasing calculation accuracy by 120% and reducing time to value by 50%.

Led the design and development of a large-scale Enterprise Platform based on a .NET stack, significantly enhancing the company's total factor productivity by 140%.

Increased company annual revenue by 20% by leading the team that established a large-scale GIS software product built on top of ASP.NET and JavaScript.

Elevated system output quality by 200% by designing and implementing an advanced Quality Control system built on C# and SQL, ensuring higher accuracy and reliability.

Enhanced overall team performance and engagement, leading to a 30% increase in project delivery efficiency and a 25% improvement in employee satisfaction scores through professional coaching and mentoring.

Led the development of a cloud-based B2B platform for the fuel retail industry. Following its launch, the product attracted over 200 new corporate clients and enabled the migration of approximately 80 existing ones to a modern tech stack - driving more than 150% revenue growth and expanding market reach across the U.S. East and West Coasts as well as Canada.

Implemented ML-based solutions for market price forecasting and corporate pricing strategy optimization. This empowered data-driven decision-making using historical and market data, increasing pricing strategy accuracy by 70% and profit margins by 120%.

Designed and implemented a hybrid Data Warehouse / Data Lake architecture by integrating Postgres (operational layer) with Snowflake (analytical layer). The solution centralized event and business data storage, accelerated analytical queries by 5×, and laid the foundation for scalable analytics and ML.

Fostered a strong engineering culture by promoting trust, transparent communication, and regular knowledge sharing. This led to full team retention (0 attrition over 2 years) and significantly improved team stability and motivation.

Collaborated with cross-functional teams to lead the development of a high-performance AI/ML system using .NET and Azure, reducing latency by 30% and boosting throughput by 50% for real-time business decisions.

Partnered with teams and external partners to build a .NET, Python, and AWS system integrating ML models with Geoscience and Energy software, cutting client costs by 200% and driving customer growth.

Spearheaded performance optimization, cutting processing times by 80%, by refactoring microservices to Rust.

Reduced infrastructure costs in AWS by 25% by implementing serverless technologies, replacing a costly legacy system, and improving efficiency.

Pioneered the migration from monolith to microservices architecture, elevating release velocity by 40% and reducing system downtime by 30% through improved scalability and fault tolerance.

Enhanced customer engagement and operational efficiency by 40% by accelerating timelines and achieving profitability 3 months ahead of schedule through effective resolution of strategic challenges.

Mentored engineers enhancing their technical skills resulting in a 35% increase in performance metrics and a reduction in bug rates by 15%.

Developed and executed a three-year architecture roadmap aligned with the company's business growth objectives, driving 40% faster cloud adoption, upgrading the technology stack, and implementing automation and containerization using Docker and Kubernetes.

Improved security and reliability by 40% for a new, country-wide online payments platform by developing backend services.

Implemented an e-commerce web application that increased revenue for a restaurant chain by 300%.