Senior Software Engineer | 4+ Years Experience | .NET, Node, AWS, Angular, React
Actively Looking for Work
About Me
Hi, I'm a Senior Software Engineer with over 4 years of experience building scalable, high-performance systems across fintech and investment domains.
I specialize in distributed systems, cloud-native architectures, and enterprise-grade backend services. My work spans across platforms like AWS, Azure, and containerized environments with Docker and Kubernetes. I have a strong foundation in .NET Core, C#, and TypeScript, and I enjoy applying principles like TDD, Clean Architecture, and SOLID design to deliver maintainable, performant code.
I've successfully led the modernization of monolithic systems into microservices, architected distributed data processing pipelines, and consistently delivered impact through performance optimizations and system scalability. Iām also passionate about clean code, automation, and developer productivity.
Outside of work, I enjoy solving algorithmic problems and have completed 400+ challenges on LeetCode.
Tech Stack
- Languages: C#, JavaScript, TypeScript, Python, C++
- Frameworks: .NET Core, Angular, React, Node.js (Express)
- Databases: SQL Server, Postgres, MySQL, Redis, MongoDB
- Cloud Platforms: AWS (Lambda, S3, Step Functions, Batch), Azure App Services, Blob Storage
- DevOps & Tools: Docker, Kubernetes, RabbitMQ, Git, Azure DevOps, SonarQube, CI/CD
- Practices: TDD, Clean Architecture, Microservices, Agile (Scrum)
Highlights
- Architected a distributed calculation engine at AQR Capital using AWS Step Functions to process thousands of portfolios in parallel ā cutting processing time by 60%.
- Migrated core systems to AWS-native architecture (Lambda, Batch), improving scalability and operational efficiency.
- Led the transformation of a monolithic trading platform into a microservices-based system at Liquidly, reducing response time by 50%.
- Winner of IEEE iQuest Hackathon and solver of 400+ LeetCode problems.
- Architected a distributed calculation engine at AQR Capital using AWS Step Functions to process thousands of portfolios in parallel ā cutting processing time by 60%.
- Migrated core systems to AWS-native architecture (Lambda, Batch), improving scalability and operational efficiency.
- Led the transformation of a monolithic trading platform into a microservices-based system at Liquidly, reducing response time by 50%.
- Winner of IEEE iQuest Hackathon and solver of 400+ LeetCode problems.