Max Li
@maxli
Full‑stack software engineer specializing in scalable backend systems and product‑minded frontends.
What I'm looking for
I am a top‑performing full‑stack software engineer with 7+ years at Amazon, combining backend mastery in Java/Kotlin and Go with modern frontend delivery using React and TypeScript. I design, implement, and scale distributed microservices and event‑driven systems across fraud detection, seller support, healthcare membership, and pharmacy.
My work focuses on measurable impact: improving reliability and performance, increasing customer conversion, and reducing manual toil through pragmatic AI integrations, streaming validation, and idempotent workflows. I have delivered services that cut latency, lowered review times, boosted conversion rates, and passed security/compliance audits with zero material findings.
I raise engineering standards via testing, observability, and security‑first design, mentor peers, and drive cross‑functional outcomes. I seek roles where I can continue to build scalable, secure systems, improve developer velocity, and apply pragmatic AI to streamline human workflows.
Experience
Work history, roles, and key accomplishments
Built Kotlin microservices and React/TypeScript dashboards for Amazon Pharmacy, cutting time-to-price verification by 48% and reducing pharmacist manual edits by 37% through streaming validation and adaptive caching.
Delivered Prime→One Medical enrollment flow and membership services with React frontends and Kotlin backends, improving checkout conversion by 17% and eliminating 98% of stale entitlements.
Modernized Seller Support case orchestration and frontends (Java→Kotlin, React), reducing P95 latency by 50% and cutting assisted-support contact rate by 18% through contract tests and observability improvements.
Built Seller Contact Routing microservices and operations consoles, cutting mis-routed cases by 36% and reducing average handle time by 19% via rules introspection and idempotent batch commits.
Built a React + Kotlin Fraud Signal Explorer reducing median triage clicks per case from 12 to 7 and shortened time-to-detect drift by 40% with real-time streams and dashboards.
Education
Degrees, certifications, and relevant coursework
University of Illinois at Urbana-Champaign
Bachelor of Science, Computer Science
2014 - 2018
Completed a Bachelor of Science in Computer Science with coursework and projects supporting software engineering and systems development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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