Vetted Unit Testing Professionals

Pre-screened and vetted.

DP

Mid-Level Software Engineer specializing in backend, cloud, and CI/CD automation

IL, USA3y exp
GoogleDePaul University
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BJ

Staff Software Engineer specializing in cloud-native AI and supply chain platforms

San Francisco, CA13y exp
ShopifyMarymount California University
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CC

Senior Software Engineer specializing in full-stack, AI/ML, and cloud platforms

Virginia Beach, VA12y exp
NetflixColumbia Southern University
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MH

Senior Software Engineer specializing in backend APIs and regulated FinTech workflows

Santa Clara, CA13y exp
GlobalLogicUniversity of Rochester
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DL

Senior Software Engineer specializing in scalable backend microservices and cloud platforms

Irving, TX11y exp
CapgeminiBoston University
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SR

Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps

USA5y exp
MetaSUNY Polytechnic Institute
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RR

Intern Software Engineer specializing in AI/ML and cloud systems

San Francisco, CA3y exp
Scale AIGeorgia Tech
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DL

Staff Software Engineer specializing in streaming platforms and AI-driven experiences

Seattle, WA12y exp
AmazonClemson University
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DG

Mid-level Full-Stack Developer specializing in cloud-native microservices

California, USA4y exp
MetaSaint Louis University
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BH

Senior Full-Stack Engineer specializing in scalable cloud platforms and AI integrations

Los Angeles, CA13y exp
West MonroeUniversity of Texas at Austin
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AS

Mid-level Software Engineer specializing in real-time backend systems and FinTech payments

San Francisco, CA6y exp
StripeWebster University
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JL

Senior Software Engineer specializing in Python, cloud microservices, and conversational AI

Chapel Hill, NC11y exp
GoogleUniversity of North Carolina at Chapel Hill
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TM

Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce

San Jose, CA11y exp
AmazonGeorgia Tech
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JH

Intern Machine Learning Engineer specializing in LLM systems and recommendation/search

Shanghai, China0y exp
MicrosoftUC Berkeley
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HB

Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms

Kirkland, WA9y exp
IndeedUniversity of Washington
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PK

Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems

San Francisco, CA5y exp
AnthropicUniversity of Central Missouri
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RS

Staff Software Engineer specializing in distributed payments and streaming systems

Kirkland, WA14y exp
AmazonUniversity of Illinois Urbana-Champaign
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KW

Senior Software Engineer specializing in AI-powered healthcare and distributed systems

Fort Lee, NJ10y exp
AmazonUniversity of Florida
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SM

Senior Unity/Gameplay Engineer specializing in XR/VR and player-facing systems

Las Vegas, NV11y exp
Meta
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Bocheng Wan - Mid-level Software Engineer specializing in consumer robotics and machine learning in Sunnyvale, CA

Bocheng Wan

Screened

Mid-level Software Engineer specializing in consumer robotics and machine learning

Sunnyvale, CA4y exp
AmazonRice University

Developer with a structured AI-assisted coding workflow centered on algorithmic rigor, type-safe scaffolding, and spec-driven modular design. Used Claude Code to help build an Android SDK for IPC, quickly ramping up on AIDL and compressing delivery including unit tests from several weeks to two weeks.

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Shahla Almasri-Hafez - Director-level Engineering Leader specializing in mobile platforms and digital transformation in Remote, USA

Director-level Engineering Leader specializing in mobile platforms and digital transformation

Remote, USA20y exp
GlassdoorTufts University

Mobile engineering leader who built Glassdoor's mobile org from 5 to 35 engineers while overseeing both iOS and Android. Started as a lead iOS engineer at CVS Health, moved into management, and combines hands-on technical depth with org building, talent development, and customer-driven product prioritization.

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CK

Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms

Seattle, WA11y exp
MpathicBrown University

Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.

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