Vetted HTML Professionals

Pre-screened and vetted.

RL

Senior Software Engineer specializing in cloud-native distributed systems

Fort Lauderdale, FL15y exp
AmazonUniversity of Florida
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JH

Senior QA Automation Engineer specializing in web, mobile, and API testing

Miami Beach, FL12y exp
AirbnbTarleton State University
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JW

Senior Software Engineer specializing in AI platforms and FinTech

Astoria, NY12y exp
NotionGeorge Washington University
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DW

Staff Full-Stack Engineer specializing in data engineering and real-time event platforms

Houston, TX10y exp
SalesforceMonash University
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AT

Senior Full-Stack Engineer specializing in cloud, real-time data, and web platforms

Mesquite, TX12y exp
Rocket LawyerUniversity of Texas at Austin
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AB

Mid-level Software Engineer specializing in ML-driven software testing and developer tools

Austin, Texas5y exp
AppleUniversity of Texas at Austin
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MP

Senior Software Engineer specializing in cloud platforms, healthcare imaging, and scalable APIs

San Jose, CA10y exp
AmazonUniversity of Texas at Austin
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DF

Senior Talent Acquisition Leader specializing in technical recruiting and recruiting operations

19y exp
MetaSan Francisco State University
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MD

Mid-level Software Engineer specializing in backend, ML platforms, and FinTech

California, USA5y exp
MetaSaint Louis University
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MR

Senior AI Engineer specializing in LLM platforms and RAG systems

Bronx, NY8y exp
PerplexityFordham University
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EL

Senior Full-Stack Software Engineer specializing in Telehealth and FinTech

Santa Clara, CA11y exp
AmazonUCLA
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KM

Senior Product Designer specializing in mobile consumer UX, creator tools, and marketplaces

Daly City, CA18y exp
BreakrUniversity of Santo Tomas
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TB

Senior Software Engineer specializing in FinTech payments and scalable platforms

San Francisco, CA10y exp
StripeUniversity of Houston
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RN

Mid-level Full-Stack Software Engineer specializing in cloud-native web applications

Salt Lake City, UT5y exp
Paxel.AIUniversity of Utah
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YF

Mid-Level Software Development Engineer specializing in AWS serverless and ML/GenAI

Irvine, CA5y exp
AmazonUniversity of Chicago
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MM

Mid-level Solutions Engineer specializing in ads platforms and ML-driven marketing systems

San Jose, CA6y exp
ByteDanceUniversity of Florida
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NS

Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference

New York city, NY4y exp
PerplexityCleveland State University
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AS

Akshat Shah

Screened ReferencesStrong rec.

Entry-level Software Engineer specializing in full-stack and AI systems

Los Angeles, CA1y exp
Integrated Media Systems CenterUSC

Frontend-leaning full-stack engineer who described owning an artist search and detail experience across UI, backend integrations, and data modeling. They show practical strength in scalable React architecture, TypeScript safety, and performance tuning, with a product-minded approach to shipping 0→1 features quickly and iterating after launch.

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TS

Titilope Soda

Screened ReferencesStrong rec.

Senior SharePoint Developer/Analyst specializing in enterprise portals, forms, and workflow automation

King of Prussia, PA17y exp
Johnson MattheyGeorgia Tech

SharePoint specialist with 10+ years delivering end-to-end business process solutions (forms, workflows, pages) and leading on-prem to SharePoint Online migrations. Has hands-on experience building SPFx React + TypeScript dashboards integrated with Nintex workflows, and has solved scale issues in large libraries (50k+ items) by redesigning permission architecture and archiving content. Also partners with product/design on Power BI dashboards, creating layered executive-to-operator UX with drill-through detail.

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JQ

Jolie Qiu

Screened

Mid-Level Software Engineer specializing in AWS data infrastructure and pipeline automation

5y exp
AmazonUSC

AWS-focused software engineer who built a self-serve ETL pipeline scheduling service for non-engineers, including automated CloudFormation-based onboarding that cut setup time from 2–3 weeks to ~5 minutes. Strong in production reliability and customer-facing data platforms (EMR/DynamoDB/Lambda), with examples spanning pagination at scale, cross-table consistency, and phased rollouts to improve Parquet log SLAs.

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