Software Development Engineer II · Amazon

Hey, I'm Abhinav.
I build software — and engineers.

4+ years shipping AI enabled full-stack systems — React on the front, Java, Spring boot and Node.js on the back, cloud underneath — and lately, GenAI services built on Bedrock and RAG. Now bringing what I've learned from real interview loops to engineers preparing for their next role.

4+ yrsIndustry experience
SDE-2Amazon, current
Full-stackReact · Java · AWS
50+Individuals mentored
Experience

4+ years of building
for real scale.

June 2026 — Present

Amazon

Software Development Engineer II

  • Designing and launching a worldwide Bedrock + RAG content-validation service — cut review time by 50% and iterations by 70%, with >90% accuracy against human review.
Feb 2025 — May 2026

ServiceNow

Software Engineer II

  • Built Application-as-a-Service (AaaS), replacing the Ansible tool and saving $60M+ annually in subscription costs.
  • Shipped a RAG-based AI chatbot for AaaS — cut SRE support resolution from hours to seconds and repetitive platform queries by 40% across 50+ teams.
  • Drove 25% higher adoption by delivering 10+ features beyond the legacy tooling.
July 2022 — Feb 2025

F5 Networks

Software Engineer I → II

  • Led the Global Efficacy UI (React) for analyzing security reports across F5 Distributed Cloud, NGINX, and BIG-IP — 80% faster bug identification and failure reporting.
  • Built security dashboards (React + TypeScript) for WAF policy and L7 DoS visibility on BIG-IP, serving 30M users.
  • Shipped partial data masking for sensitive fields in custom network scans, contributing to a 7% lift in customer growth.
  • Implemented security measures on F5's core BIG-IP, serving 30M users.
Jan — Jun 2022

Samsung SDS

Software Engineer Intern

  • Fixed bugs and optimized the Samsung service library (Java, AngularJS), cutting response times by 10%.
Toolkit

The stack I work in, daily.

ReactTypeScriptJavaNode.jsPythonAWSKubernetesDockerKafkaPostgreSQLRedisLLMs & RAGSystem Design
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One email when mock interviews, the cohort, or new write-ups go live. No spam — just the launch.