AS

Abhishek Shukla

Available to hire

I’m Abhishek Shukla, a back-end software engineer who builds reliable, event-driven systems for payments, subscriptions, and long-running workflows—especially where correctness, idempotency, and auditability matter.

About

I’m Abhishek Shukla, a back-end software engineer who builds reliable, event-driven systems for payments, subscriptions, and long-running workflows—especially where correctness, idempotency, and auditability matter. I enjoy turning complex stateful problems into explicit state machines and strategies that make retries safe and failures recoverable without manual intervention.

From designing resilient API gateways and webhooks with proper reconciliation to instrumenting services with OpenTelemetry and Jaeger, I focus on observability, performance, and operational ownership. I’ve shipped systems in Java with Spring Boot and Kafka, improved API latency significantly, and support services through deployment, monitoring, and on-call—plus I like using AI-assisted coding tools to move faster while keeping quality high.

  • 1 year's experience
  • Joined September 2026

Industry experience

  • Software & Internet
  • Financial Services

Work experience

Software Engineer (Founding Back-End Engineer) · Gullybiz AI Pvt. Ltd. (GetMySaaS)Jun 2025 – Present · 1 yr 6 mos

Built and owned back-end services for a SaaS e-commerce platform, modeling long-running asynchronous payment and subscription lifecycles with explicit state machines, strategy patterns, and an append-only event log. Orchestrated distributed, multi-step workflows with idempotent Kafka consumers to ensure transitions remain auditable, replayable, and safe against duplicates, out-of-order, and partial failures. Integrated external services and payment gateway webhooks using idempotent handling plus retry/backoff and reconciliation so duplicates or delayed callbacks never corrupt system state. Implemented observability with OpenTelemetry and Jaeger, reduced incident diagnosis time significantly, and supported production through alerting and on-call. Shipped core microservices for cart, payments, subscriptions, billing, and vendor/consumer domains in Java with Spring Boot/WebFlux and database-per-service design, improving API latency by optimizing caching, indexing, and queries.

Education

B.Tech, Artificial Intelligence and Machine Learning · Madhav Institute of Technology & Science2021 – 2025

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