Jul 2023 – Jun 2025 · 1 yr 11 mos · Remote

• After the successful completion of the second-generation system, the focus shifted to the third-generation release, which aimed to further extend data volume, improve delivery speed, and support more complex KPI calculations through enhanced configuration options.
• A key innovation in this phase was the introduction of Rust for highly efficient resource utilization, faster data delivery, and increased processing volume. The system was structured as a diverse microservices architecture, where:
• BigQuery query generation ran in Node.js, utilizing advanced hashing and caching techniques for optimal execution and cost-efficient performance compared to Google Looker.
• Data computation, processing, and weighting were handled in Rust, reducing the CPU bottleneck caused by Go’s garbage collection, significantly improving processing speed and scalability.
• Data storage and delivery services were implemented in Go, maintaining reliability and scalability.
• Additionally, the Rust module optimized the overall data pipeline efficiency, allowing the system to handle significantly larger volumes while reducing operational costs. The combination of caching, optimized query generation, and multi-language microservices resulted in a highly cost-effective and scalable solution.

Aug 2022 – Jun 2023 · 10 mos · Remote

• After the successful delivery of the first-generation data processing system, the focus shifted to designing and developing the second-generation system with a high-performance team. This system leveraged Go for extensive data processing, significantly improving throughput and efficiency.
• A key enhancement was the custom configuration system, enabling dynamic KPI processing similar to Google Looker, but with cost-effective, customizable, and extended functionality. This allowed manufacturers and retailers to analyze complex business insights efficiently while tailoring data visualization to their needs.
• Worked closely with the DevOps team to implement a Jenkins CI/CD pipeline, ensuring seamless feature releases every sprint. Additionally, the React frontend was continuously updated and optimized to provide a more intuitive UI and streamlined functionality, making it easier for users to process and generate complex KPIs effectively.

Jun 2021 – Aug 2022 · 1 yr 2 mos

• Following the successful delivery of the C# desktop application for offline use and the web front-end major release, the next phase focused on developing a high-volume data processing engine using TypeScript. Designed and built the first-generation system to efficiently process large-scale, pattern-based data while ensuring optimal performance.
• As a Full Stack Developer, coordinated and developed the frontend using React, integrating it with the backend to enable ad-hoc system queries from end users. This system generated summarized and aggregated business insights for manufacturers and retailers, handling massive data volumes efficiently.
• The architecture leveraged BigQuery for large-scale data operations, Node.js parallel processing with worker clusters, and real-time status updates via WebSockets to enhance system responsiveness and performance.

Nov 2018 – May 2021 · 2 yrs 6 mos

• Worked as part of a team to complete the C++ to C# migration and successfully release the desktop application. Contributed to enhancing WPF features, improving usability and functionality. Extracted core processing logic to enable a scalable web frontend using .NET Core. Focused on data processing and manipulation, optimizing performance and ensuring seamless integration with the new architecture.
• Additionally, individually developed an Angular frontend with MongoDB, ExpressJS to deploy the main product application and monitor health status as part of a self-initiated process improvement effort. This tool monitored and managed updates, service health, and status for over 200 on-prem servers, improving system reliability and operational efficiency. Collaborated with teams to integrate the solution into the existing ecosystem.

Oct 2016 – Oct 2018 · 2 yrs

• Started as a Mainframe Migration Developer, focusing on transforming legacy systems into modern architectures. Later transitioned to C++ and C# development, leading efforts in migrating and upgrading desktop applications for improved performance, maintainability, and scalability. Worked on code refactoring, UI enhancements, and system optimizations while ensuring seamless integration with existing infrastructure. Collaborated with cross-functional teams to deliver high-quality, efficient software solutions.