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Vetted Amazon S3 Professionals

Pre-screened and vetted.

YQ

Yusuf Qazi

Screened

Mid-Level Full-Stack Developer specializing in Flutter, React, and AWS

Edmonton, Alberta3y exp
Smartphone RepairHarry Ainlay High School

Frontend engineer with experience leading a Flutter cross-platform mobile app end-to-end, emphasizing layered architecture (UI vs service/business logic) and performance tuning (off-main-thread image processing via isolates). Also builds React + TypeScript dashboards with reusable components (TailwindCSS) and scalable state management (Context + reducers), and has handled urgent production issues with QA-verified rollouts.

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NN

Junior Software Engineer specializing in .NET backend and cloud-deployed real-time systems

India2y exp
Nexgits Private LimitedSankalchand Patel University
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AD

Entry-Level Mechatronics Engineer specializing in robotics, embedded systems, and ROS 2

Cali, Colombia2y exp
Red de Huerteros y Huerteritos de JamundíUniversidad Autónoma de Occidente
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KN

Entry-Level Full-Stack Software Engineer specializing in backend systems and cloud deployment

Long Beach, CA0y exp
BeachHacks, CSULBCal State Long Beach
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JS

Jazib Shakoor

Screened

Junior Full-Stack Developer specializing in FinTech automation and real-time dashboards

Dubai, UAE2y exp
GODORiphah International University

Full-stack JavaScript developer (Node + React) who built a CRM system end-to-end, including fine-grained access control (RBAC plus per-user permissions) and user activity tracking. Currently focused on performance optimization for a data-heavy web app, applying lazy loading, image compression, and pagination to dramatically reduce load times, and has implemented per-user API rate limiting to control request bursts.

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AF

Andrew Fu

Screened

Backend/infrastructure engineer in the EBS org focused on global server lifecycle and fleet reliability. Led a major modernization from manual, ticket-driven recovery to centralized Python services and operator tooling with DynamoDB-backed state, strong auth/allowlisting, and CloudWatch monitoring, plus an AWS Glue/S3/SNS data pipeline to join server and hardware datasets for global operational querying and automated recovery.

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