Results-driven Senior Software Engineer with 7 years of experience designing, developing, and deploying cloud-based applications in fintech and healthcare domains. Strong expertise in C#, .NET, Java, Spring Boot, Microservices, and Azure cloud environments. Skilled in end-to-end software development life cycle (SDLC), Agile methodologies, and implementing secure, scalable, and high-performance solutions. Experienced in troubleshooting, architecture design, mentoring junior engineers, and CI/CD automation.
Backend: C#, ASPNET Core, Java, Spring Boot, RESTful
APIs, Microservices Architecture
Frontend: React, JavaScript, TypeScript, Blazor,
HTML/CSS
Cloud & DevOps: Microsoft Azure (App Insights,
CosmosDB, EventHub, Key Vault, Redis), Jenkins, Docker
Databases: Azure DB, SQL Server
Tools and Practices: Git, JIRA, Agile (Scrum/Kanban), TDD,
BDD, Sitecore CMS
Software Architecture: Multi-region cloud design, Scalable and Secure Systems, Design Patterns (Factory, Singleton, Observer)
Graduate Research - Bradley University (Jan 2022 – May 2022)
Software Developer Intern (Co-op) – OSF HealthCare (May 2022 – Aug 2022)
• Developed a database management product to the healthcare providers and locations using .Net and Azure DB.
• Designed an ER model and translated the model to relational schema.
• Implemented websites, mobile first approach and landing pages from concept to deployment
• Built an admin portal for content updates, enhancing operational efficiency by 30%.
Web Intern – Bradley University (Mar 2022 – Sep 2022)
• Created and maintained Bradley.edu web pages in dotCMS, applying UX/UI best practices & mobile-first design.
• Improved page speed by 15% through browser caching, server optimization, and performance monitoring.
Sybase SQL Developer – Bradley University (Sep 2021 – Jan 2022)
• Developed stored procedures, triggers, indexes, and optimized SQL queries to enhance database performance
• Improved database performance by 80% through efficient logical data modeling in SAP Sybase SQL DB
• Optimized complex PL/SQL queries, reducing execution time from hours to minutes or seconds