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Vetted Front End Developers in Remote

Pre-screened and vetted in Remote.

AWSAWS LambdaAgileAmazon S3CI/CD.NET
TI

Terrance IvyBrown

Screened

Senior Full-Stack Software Engineer specializing in cloud-native SaaS and modern JavaScript stacks

Remote7y exp
ToptalHouston Community College

“Backend/data engineer with hands-on production experience building Python/Django APIs on PostgreSQL and delivering AWS serverless + containerized architectures (API Gateway/Lambda, IaC, CI/CD, secrets/config). Has operated AWS Glue pipelines ingesting S3 log/3rd-party data with schema evolution monitoring, modernized legacy batch logic into API-based services via parallel-run parity testing, and improved Postgres query performance by several seconds; prefers fully remote work and targets $120–130k base.”

AI/ML IntegrationAmazon Web Services (AWS)Angular 11Ant DesignApollo ClientApollo Server+106
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MZ

Matthew Zhang

Mid-Level Software Developer specializing in game development and web tooling

Remote, US4y exp
Lost Boys InteractiveSaint Mary's College of California
PythonJavaScriptJavaC#C++PowerShell+29
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MU

Muhammad Umar

Senior Full-Stack Engineer specializing in MERN, Next.js, and React Native

Remote, United States7y exp
EcologixCOMSATS University Islamabad - Lahore Campus
AgileAgile/ScrumApache HTTP ServerAnt DesignAsync/AwaitAuthentication+93
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PN

Precious Nwaoha

Principal Full-Stack AI Engineer specializing in LLM-powered web and mobile products

Remote, US6y exp
Pharmora AIUniversity of Nigeria
TypeScriptJavaScriptPythonCC++C#+104
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JK

Jeevan Kumar

Screened

Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG

Remote, USA5y exp
Augmented AIUniversity of Massachusetts Dartmouth

“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”

AgileApollo.ioArcGISAuth0AWSAWS Lambda+150
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