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Vetted Swift Professionals

Pre-screened and vetted.

XD

Junior AI Software Engineer specializing in LLM systems and retrieval (RAG)

Austin, Texas1y exp
CDK GlobalUniversity of Texas at Austin
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PD

Senior Software Engineer specializing in AWS distributed systems and developer tools

Santa Clara, California9y exp
Amazon Web ServicesUniversity of Massachusetts
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SS

Intern Full-Stack Software Engineer specializing in distributed systems and cloud services

1y exp
AmazonDuke University
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SC

Senior Cloud Infrastructure Architect specializing in multi-cloud, DevOps, and AI/ML platforms

San Francisco, California25y exp
AmazonAmerican River College

Engineering leader (Director of Development) with hands-on cloud and product experience who builds business-aligned technology roadmaps and scales teams. Delivered an enterprise cloud-migration enabler at UHG by implementing AD authentication and Terraform-based IaC for custom VM images while meeting 90-day InfoSec patch/rotation requirements, and drove a 20% lift in user consumption/retention by designing an interactive branded media portal experience for Sunkist.

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EG

Intern Software Engineer specializing in full-stack development and machine learning

Menlo Park, CA3y exp
MetaUSC
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RT

Senior Accessibility Automation Engineer specializing in AR/VR and mobile test automation

Boulder, CO12y exp
AppleAustin Community College
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RL

Senior Python Developer specializing in cloud-native backend systems

Sussex, NJ10y exp
AmazonCal State Long Beach
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AF

Senior Software Engineer specializing in cloud-native SaaS and real-time collaboration

San Francisco, CA14y exp
NotionStony Brook University
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MC

Senior Backend Software Engineer specializing in AWS-native Python systems

San Francisco, CA12y exp
HubSpotUC Irvine
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PA

Executive Software Engineering Leader specializing in digital transformation and omnichannel commerce

Chatsworth, CA18y exp
MGAEIIT Kharagpur
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OB

Junior Software Engineer specializing in AWS cloud infrastructure and ML systems

Seattle, WA2y exp
Amazon Web ServicesUSC
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SS

Junior AI Prompt Engineer specializing in LLMs, RAG, and conversational AI

Fremont, CA1y exp
DatabricksUC San Diego
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SN

Intern Software Engineer specializing in AI/ML and LLM applications

Los Angeles, CA1y exp
AppleUSC
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HS

Mid-level Machine Learning Engineer specializing in GenAI, forecasting, and MLOps

Pittsburgh, PA3y exp
CalixCarnegie Mellon University
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AC

Senior Software Engineer specializing in FinTech and cloud platforms

Huston, TX11y exp
SalesforceUniversity of Houston
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AS

Senior Software Engineer specializing in cloud, data platforms, and LLM/RAG applications

Fremont, CA7y exp
Volvo GroupSan José State University
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SK

Intern Software Engineer specializing in developer productivity and data/AI systems

Los Angeles, California1y exp
IntuitUC Berkeley

Internship experience at Intuit building an LLM-grounded QA system for internal microservice data across 100+ microservices, using a graph database approach (evaluated Neo4j and selected AWS Neptune for production alignment). Also has UC Berkeley research experience (including work with Prof. Dawn Song / Berkeley Eye Research Lab) and cross-functional collaboration with bioinformatics/biology teams to deploy software systems on research servers.

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SS

Mid-level Software Engineer specializing in AR/VR accessibility

Cupertino, CA4y exp
AppleUniversity of Rochester

Spatial computing software engineer focused on making Apple Vision Pro/visionOS accessible, including building VoiceOver and Live Captions features. Debugged a complex Live Captions issue involving dual audio inputs during FaceTime screen sharing by leveraging iOS implementation docs and creating concurrent audio sources; also has safety-critical testing experience from train control systems and is interested in pivoting into robotics.

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KC

KaMing Cheung

Screened

Junior Software Engineer specializing in full-stack and machine learning

Pittsburgh, United States1y exp
Carnegie Mellon UniversityCarnegie Mellon University

CMU IoT coursework project builder who implemented an end-to-end TinyML gesture recognition system on a Particle Photon + ADXL345, streaming data via MQTT/Node-RED to a real-time Node.js frontend and deploying a quantized logistic regression model on-device. Also explored multi-drone coordination, implementing leader-follower offset control and a pivot/arc turning strategy to avoid collisions, and brings practical Docker/Kubernetes plus CI/CD workflow experience from internships.

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JY

Intern Product Manager & Software Engineer specializing in data analytics and AI

Redmond, WA2y exp
MicrosoftUSC
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AL

Mid-Level Software Developer specializing in cloud databases and distributed systems

Seattle, WA3y exp
AmazonIndiana University
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