Abhishek Mugal
- Role
- Software Development Engineer Ii at Amazon
- Location
- Sunnyvale, CA, US
- LinkedIn followers
- 500 followers
About Abhishek Mugal
Senior Software Engineer with 8+ years of experience building large-scale distributed…
Experience
Software Development Engineer Ii
Nov 2022 — Present · Seattle, WA, US
Spearheaded migration of Amazon\'s global screening infrastructure to centralized platform, integrating 59 screening queues with real-time Checkpoint validation, resulting in 95% reduction in manual investigations while strengthening regulatory compliance across sanctions, PEP, and SIP screenings* Orchestrated legacy system deprecation strategy, implementing automated validation processes and alternative screening workflows, resulting in successful decommissioning of services reducing 40% operational costs* Architected and deployed critical seller screening compliance for Amazon Ireland (amazon.ie) marketplace launch, processing seller registrations with 99.9% system availability, contributing to marketplace readiness 3 months ahead of public launch in March 2025, unlocking access to Ireland\'s €100M+ retail market* Architected and implemented 20+ reusable compliance verification features (Auto KYC, Legal Representative verification, Beneficial Owner verification) for Amazon\'s next-gen platform, enabling standardization across buyer and seller compliance controls while reducing development time for new market launches by 60%* Engineered automated KYC system with Trulioo, Experian integrations that processed EU seller verifications, achieving 89% completion rate (5% higher than legacy system) and reducing verification time by 2 days at TP90* Redesigned investigator workflow through case-based queuing system, consolidating Identity and Business verifications into single view, reducing investigator task-switching by 40% and simplifying 300+ data reporting profiles into 11 streamlined profiles* Led team’s operational excellence initiatives, resolving 200+ customer-impacting issues with 98% SLA compliance, while establishing critical processes like pre-mortem reviews and incident response protocols that reduced P1 incidents by 40%
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