Divyansh Sharma

About Divyansh Sharma

I’m a Backend Engineer (SDE-2) working at the intersection of AI systems, distributed backends, and real-time data platforms.With 4.5+ years of experience in Java, Spring Boot, Kafka, and microservices, I design and build scalable data pipelines and APIs that power modern AI-driven applications — from real-time event ingestion to batch-based model training workflows.Today’s AI products don’t fail because of models — they fail because of weak backend systems.That’s where I specialize.I’ve built and maintained: • Kafka-based event streaming platforms for high-volume data • Spring Batch pipelines for large-scale processing & reprocessing • PostgreSQL & MongoDB backends for transactional + analytical workloads • Fault-tolerant microservices with idempotency, retries, and exactly-once semanticsThese are the same building blocks behind: • AI training pipelines • ML feature stores • Real-time inference systems • Event-driven analytics platforms

Experience

1. Associate Software Engineer

   Unthinkable Solutions

   Oct 2024 — Present · Gurugram, IN

   Re-architected a large-scale batch processing pipeline, cutting execution time by 80%(3 hrs → 20–40 mins) by replacing record-level API calls with bulk operations and introducing asynchronous execution.* Designed configurable REST APIs for batch orchestration, enabling runtime-driven execution paths and significantly improving reusability and extensibility.* Led end-to-end delivery of a critical notice batch system — owning requirements, system design, implementation, testing, and production rollout.* Reduced event delivery latency by 20% by designing an event-driven architecture using Apache Kafka and Spring AOP, fully decoupling event production from core business logic.* Collaborated with product and platform teams to drive architectural improvements, ensuring on-time delivery and higher system stability.

Education

• Swami Keshvanand Institute of Technology

  Bachelor of Technology - BTech

  2018 — 2022