ROMAN EMREIS

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.

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.

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%.