Highly accomplished Software Engineer with expertise in TypeScript, Python, and Kotlin backend development, specializing in building scalable, high-performance systems and data pipelines. Proven ability to lead complex projects from design to implementation, delivering significant business impact such as optimizing profitability by €3-4M and achieving ¥40M in cost savings. Adept at cross-functional collaboration, technical architecture, and leveraging data-driven insights to drive strategic product development and operational efficiency across diverse industries.
Backend Engineer
Helsinki, Uusimaa, Finland
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Summary
Spearheaded backend engineering for critical pricing and data initiatives, driving significant profitability improvements and operational efficiencies across multiple high-impact projects.
Highlights
Architected and implemented real-time pricing data synchronization from monolithic to microservice using Kafka-based event processing, establishing a scalable foundation for pricing configuration ownership.
Led backend development for the Pricing Portal, designing robust Edit/Create flows and API contracts to centrally manage and visualize complex pricing rules by country, area, and product line.
Directed the implementation of a legally compliant tobacco delivery fee model in Japan, ensuring business profitability and proactively driving required Fintech-side changes end-to-end.
Conducted an A/B test for pricing configuration schema changes, revealing a projected €5.5M annual GOV drop, leading to a pivot to an alternative engineering approach.
Implemented a Service Fee calculation change across backend services, shifting the base from post-discount to pre-discount basket size to improve profitability by an expected €3-4M variable profit in 2026.
Backend / Data Engineer
Tokyo, Kanto, Japan
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Summary
Proposed and developed a scalable data pipeline to enhance BI capabilities and optimize data processing for critical mobile app data.
Highlights
Developed a scalable data pipeline by exporting data from PostgreSQL to Amazon Athena using AWS Step Functions and dbt, enabling complex computations on truck driver mobile app data.
Improved query performance and reduced data processing latency, providing critical insights for BI dashboards and operational decision-making.
Software Engineer
Tokyo, Kanto, Japan
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Summary
Led the development of a TypeScript/Node.js BFF for a bookstore procurement system, ensuring efficient and reliable data handling.
Highlights
Led TypeScript/Node.js BFF development for a bookstore procurement system, designing and implementing robust backend solutions for efficient data flow.
Software Engineer
Tokyo, Kanto, Japan
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Summary
Optimized a C++ boolean search engine, significantly improving performance and achieving substantial cost savings for a demand-side platform.
Highlights
Accelerated a C++ boolean search engine by 15% through strategic optimization of protobuf deserialization and data transfer using zstd compression.
Achieved a significant cost saving of ¥40M by enhancing search engine efficiency and reducing processing overhead for the Demand-Side Platform.
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Master of Science - MS
Computer Science
Grade: GPA: 3.9
Courses
Research in Interior Point Methods @ Mathematical Optimization Group
Published by
Comput. Optim. Appl.
Summary
Complexity analysis of interior-point methods for second-order stationary points of nonlinear semidefinite optimization problems
TypeScript, Python, Kotlin, C++, Node.js, System Design, Microservices, API Development, Web Development.
Kafka, PostgreSQL, Amazon Athena, AWS Step Functions, dbt, protobuf, zstd, Data Pipelines, BI Dashboards, Query Optimization, Data Processing.
Project Leadership, Cross-functional Collaboration, A/B Testing, Problem Solving, Strategic Planning.
Optimization, Performance Tuning, Cost Savings, Operational Efficiency.
Fintech, Consumer Pricing, E-commerce, Demand-Side Platform, Regulatory Compliance.