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Augustine Jebakumar

Senior Software Engineer / Full Stack Developer at Cardinal Health

Full Stack DevelopmentMicroservices ArchitectureGenerative AI & LLMsCloud Computing (GCP/AWS)Data Science & MLSystem Design

About

I'm Augustine Jebakumar, a Senior Software Engineer at Cardinal Health with a passion for building scalable, production-grade systems. My career has taken me from backend and mobile development to my current focus on real-time pharmaceutical ordering systems using the MERN stack and microservices. I hold an MCA and a Diploma in Data Science, which allows me to bring a unique blend of full-stack expertise and predictive modeling to the table—like the sales forecasting models I've built with 92% accuracy. I am deeply committed to clean code and SOLID principles, and I'm currently focused on integrating Generative AI into backend engineering. I'm actively looking to bring my six years of experience to a new role as a Full Stack or AI/ML Engineer in the United States. I love discussing system design and high-throughput architecture, and I'm always happy to share what I've learned about building resilient, high-uptime cloud applications.

Networking

What I can offer

  • Expertise in building production-grade scalable microservices.
  • End-to-end full stack development with MERN and Spring Boot.
  • Data engineering and AI/ML integration for predictive analytics.

Looking for

  • Full Stack Developer roles in the United States
  • Backend Developer roles in the United States
  • AI/ML or Data Engineer roles in the United States

Best fit for

RecruitersEngineering ManagersU.S. Tech Ecosystem Peers

Current Interests

High-Level Design (HLD)Generative AI in Backend EngineeringDevOps AutomationDynamic ProgrammingClean Code Architecture

Background

Career

Progressed from part-time Backend and React Native roles at Dot Com Infoway to Web Development at OpenTurf Technologies, currently serving as a Senior Full Stack Developer at Cardinal Health.

Education

Master of Computer Applications (MCA) and Diploma in Data Science from The American College (9.1 CGPA); BS in Mathematics from The American College (8.9 CGPA).

Achievements

  • Increased API speed by 30% and reduced database latency by 20% at Cardinal Health.
  • Maintained 99.9% uptime for cloud-native systems on GCP and PCF.
  • Developed predictive models for sales and churn with 92%+ accuracy.
  • Built and maintained 15+ microservices and 50+ secure REST APIs.

Opinions

  • SOLID principles are essential for making code easier to change, test, and maintain.
  • Learning by doing is the best way to bridge the gap between theory and real-world application.
  • Resilience and determination are key during challenging career transitions.