Ankur Konar

About Ankur Konar

As a Software Engineer II at Deloitte USI, I specialize in backend development for large-scale production systems in the healthcare domain. My role involves designing and implementing high-throughput backend services and APIs using Java, Spring Boot, and SQL on Azure. I have contributed to critical projects, including the Auto Refill enrollment workflows, enabling millions of patient enrollments while supporting compliance and operational efficiency. With a Bachelor of Technology in Computer Science Engineering from the Indian Institute of Information Technology Kalyani, I bring expertise in distributed systems and backend architecture. My professional focus is on building scalable, fault-tolerant systems that drive tangible business outcomes, particularly in regulated domains like healthcare. I am passionate about solving complex engineering challenges and contributing to impactful enterprise platforms.

Experience

1. Consultant - Software Engineer Ii

   Deloitte

   May 2024 — Present · Kolkata, IN

   Backend-focused software engineer working on large-scale, production systems in the healthcare domain for a pharmacy platform. Designed and implemented high-throughput backend services and APIs on Azure using Java, Spring Boot, and SQL, supporting prescription refills, inventory management, and compliance workflows across 1,500+ stores. Owned end-to-end backend architecture for Auto Refill enrollment workflows, enabling 3.85M+ patient enrollments, driving 8% global adoption growth, 56% reduction in decline rates, and contributing to $9M+ revenue uplift. Delivered 30+ production-grade features across DUR, RTP (Release to Patient), Third-Party Returns, and Slot Management, improving regulatory compliance and reducing end-user processing time by ~20%. Designed and implemented compliance-critical DUR Opioids workflows, coordinating with 5+ cross-functional teams and owning system design, validation logic, and production rollout impacting 10K+ users. Modernized batch systems by migrating legacy shell workflows to Spring Batch, implementing retries, partitioning, and failure handling to process records/month with 20% lower latency and improved fault tolerance. Actively supported production systems by resolving 45+ high-priority incidents, performing root-cause analysis, and improving CI/CD and code quality through 10+ peer code reviews per sprint, reducing production defects by ~15%.

Education

• Hem Sheela Model School

  Higher Secondary, Science ( Comp. Sc.)

  2014 — 2016

• Indian Institute of Information Technology Kalyani

  Bachelor of Technology, Computer Science Engineering

  2017 — 2021