Gautam Dhiman

About Gautam Dhiman

Backend engineer with ~3 years of experience building scalable, event-driven systems using AWS, Kafka, Redis, and Elasticsearch.I have worked on financial workflows, high-throughput APIs, and fault-tolerant microservices, focusing on correctness under concurrency and performance at scale. Recently built a Kafka-backed WhatsApp bidding system handling 50K+ interactions/min, optimized core APIs to cut p95 latency by 45%, and shipped reliable async pipelines in production.Interested in distributed systems, system design, and backend-heavy SDE-2 roles

Experience

1. Software Engineer

   Delhivery

   Sep 2023 — Present · Gurugram, IN

   Backend software engineer working on distributed systems, microservices, and event-driven architectures at scale. Strong focus on high-throughput APIs, Kafka pipelines, AWS serverless systems, Redis caching/locking, and financial correctness under concurrencyKey contributions:1. Designed and implemented event-driven microservices using AWS Lambda, Kafka, Redis, and DynamoDB in Delhivery’s Payables platform; built a trip penalty recovery workflow with Redis-based locking (trip-level and payee-level) to ensure idempotent, race-free financial processing, recovering ~20% penalties (~₹40L/year).2. Built a microservices-based, Kafka-backed WhatsApp bidding system with a config-driven state machine, enabling fault-tolerant, stateful bid processing at scale (50K+ messages/min) with retries, ordering guarantees, and idempotency.3. Developed a Kafka-driven OCR pipeline integrating Gemini Flash 2.0 for reimbursement processing, automating ~60% of manual workflows and improving data quality, reliability, and downstream system stability.4. Designed and implemented a scalable backend recommendation service (filtering + ranking) for ad-hoc logistics placements, increasing placement coverage to 32% under live production traffic.5. Optimized a high-traffic RESTful transaction creation API by introducing Redis caching, consolidating Elasticsearch and external service calls, and reducing synchronous dependencies—achieving a ~45% reduction in p95 latency and improved tail performance.

Education

• Mukand Lal Public School

  High School

  2017 — 2018

• Chandigarh Engineering College

  Bachelor of Technology - BTech

  2018 — 2022