Chetan Aggarwal
@chetanaggarwal
Full-stack SDE building scalable event-driven backend systems and customer platforms, using Node.js, React, Java, and AWS.
What I'm looking for
I’m a full-stack Software Development Engineer with 4+ years of experience building backend systems, event-driven workflows, and customer-facing platforms at scale. I’ve delivered $15M+ in annual GMV, $14M+ in SaaS savings, and $43M+ in revenue impact, while staying focused on correctness, performance, and operational excellence.
At Flexport, I built receiving and putaway flows for the native WMS, driving $14M+ in estimated SaaS cost savings. I also developed an AI-powered incident investigation assistant using LLM, RAG, and MCP integrations (reducing on-call effort by 10+ hours/week) and designed deterministic, idempotent event-based attribution to cut support tickets by 99%.
Earlier at Amazon, I owned Customer Experience for the Product Detail Page as part of a Tier-1 on-call team during peak-traffic events. I co-built an event-driven media aggregation platform on AWS that processed 100M+ updates/day, cutting infrastructure costs by 60% at 99.95% uptime, and I improved product variations latency by 374ms while contributing $43M+ in revenue impact.
I enjoy turning complex workflows into reliable, scalable systems—whether it’s queue-based asynchronous processing, bulk ingestion pipelines, or LLM-driven personalization. I also take pride in being accountable on-call for mission-critical services and partnering closely with teams to deliver measurable outcomes.
Experience
Work history, roles, and key accomplishments
Built backend and event-driven workflows for Flexport’s WMS and customer-facing logistics platforms, including an AI-powered incident investigation assistant. Delivered $14M+ in SaaS cost savings, reduced support tickets by 99%, accelerated onboarding by 70%, and contributed $15M+ in annual GMV.
Owned Amazon’s Product Detail Page customer experience as part of a tier-1 on-call team and built an AWS event-driven media aggregation platform handling 100M+ product updates/day. Improved product variations selector latency by 374ms and drove $43M+ in revenue impact.
Education
Degrees, certifications, and relevant coursework
Maharaja Agrasen Institute Of Technology
Bachelor of Technology, Computer Science and Engineering
2018 - 2022
Grade: CGPA: 8.82
Bachelor of Technology in Computer Science and Engineering. Earned a CGPA of 8.82.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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