Vetted HTML Professionals

Pre-screened and vetted.

CW

Senior AI/ML Software Engineer specializing in production ML systems

Batavia, IL15y exp
AppleMillikin University
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SC

Principal Software Engineer specializing in distributed systems and cloud platforms

Menlo Park, CA14y exp
MetaUniversity of Utah
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AV

Senior Full-Stack Software Engineer specializing in AI voice agents and scalable web platforms

Palo Alto, United States10y exp
Retell AIMacquarie University
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CT

Senior Full-Stack Software Engineer specializing in cloud platforms and healthcare data systems

Los Angeles, CA10y exp
GoogleUniversity of Texas at Arlington
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AT

Senior Python Engineer specializing in cloud infrastructure, media services, and IoT

Seattle, WA17y exp
AppleUniversity of Waterloo
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AR

Staff Software Engineer specializing in healthcare microservices and data visualization

Remote14y exp
SalesforceUC Berkeley
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SM

Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech

CA5y exp
StripeFlorida Institute of Technology
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YT

Senior Full-Stack Engineer specializing in AI-first web modernization and cloud platforms

San Francisco, CA13y exp
MetaUniversity of Waterloo
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YC

Senior Software Engineer specializing in scalable web apps, real-time systems, and AI integration

San Jose, CA12y exp
MetaBrandeis University
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MJ

Senior Full-Stack Python Engineer specializing in AI/ML

Chicago, IL11y exp
DropboxStanford University
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JL

Junior Software Engineer specializing in backend systems and security

San Francisco, CA3y exp
MicrosoftStanford University
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ZH

Senior Software Engineer specializing in backend systems and data platforms

Los Gatos, CA7y exp
NetflixUC Berkeley
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KV

Mid-level AI/ML Engineer specializing in Generative AI and multilingual NLP

California, USA5y exp
OpenAIAuburn University at Montgomery
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JX

Jeffrey Xuzhang

Screened ReferencesStrong rec.

Junior Software Engineer specializing in full-stack and cloud systems

Vancouver, Canada2y exp
Amazon Web ServicesUniversity of Waterloo

Worked on an AWS DynamoDB Journal team project building internal operator dashboards end-to-end, creating Java/Spring Boot APIs and integrating them into a Spring Boot/Thymeleaf/JavaScript UI to speed up debugging workflows. Has experience with data-heavy web apps and performance techniques (load balancing, caching, pagination, compression) plus hands-on debugging across unit/integration/E2E tests; also maintained and enhanced a React website at Global Spark.

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AD

Senior Backend Developer specializing in cloud APIs and microservices

Mountain View, CA13y exp
GoogleUniversity of Texas at El Paso
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SL

Staff Software Engineer specializing in FinTech and Healthcare Platforms

Houston, TX13y exp
AmazonColgate University
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CM

Senior Full-Stack Engineer specializing in React, Python/Django, and AWS

Hawthorne, CA13y exp
SpaceXUniversity of Florida
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KS

Senior Full-Stack Engineer specializing in cloud-native AI SaaS platforms

Cracow, PL10y exp
GoogleMaynooth University
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Tolulope Akinlabi - Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk in Lanham, MD

Tolulope Akinlabi

Screened ReferencesStrong rec.

Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk

Lanham, MD6y exp
DeloitteUniversity of Pennsylvania

Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.

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AS

Senior Software Engineer specializing in Healthcare AI and FinTech platforms

Baton Rouge, LA13y exp
GoogleLouisiana State University

Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.

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