I build distributed systems and data pipelines that hold up under real load — performance, reliability, and scale, in that order.
I am a software engineer with 4+ years of experience building data pipelines and distributed systems. I thrive most working in an environment where architecture decisions have immediate, measurable consequences on how real businesses operate.
Outside of software development, I am either playing tennis, staying up-to-date with latest tech news, relaxing at the beach, or thinking about my next personal project.
* not in production
Designed, built (0→1), and owned the division's largest Database Management System in Azure Data Explorer — ~500 VM cluster, ~100 TB of uncompressed data ingested daily, ~3,000 dependent entities monthly
Re-engineered a large-scale data pipeline in Databricks (Python), achieving ~75% reduction in processing time
Orchestrated VM and benchmarking workload deployments in Azure Automation for storage performance validation, reaching ~99% regional/zonal/disk configuration coverage
Implemented backend services on MBMP product in Java with Spring Boot
Built REST APIs and tested endpoints using Postman
Enhanced testing by reaching ~90% code coverage with JUnit & Mockito
Analyzed Win32 APIs (WinRM / WSMan) and developed a C++ integration prototype for Goverlan Reach
Packaged Goverlan Reach software using MSIX Packaging Tool
Created test cases in Azure DevOps for latest version release
Minor in Management
Emphasis on algorithms, data structures, and cloud computing
Semester Honors (3), 3.2 GPA
Explored key areas such as product development, competitive analysis, and growth strategy
Developed a foundation in venture creation, including opportunity identification, market validation, and business model design
Completed a capstone project developing a business plan for a startup idea
Have a project in mind or want to discuss an opportunity? Drop me a message and I'll get back to you within 24 hours.