Vetted Supabase Professionals

Pre-screened and vetted.

IB

Staff Software Engineer specializing in distributed systems, cloud, and AI/LLM platforms

New York, NY14y exp
WalmartUniversity at Buffalo
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TS

Junior Software Engineer specializing in LLM systems and software supply-chain security

Lafayette, IN3y exp
IntelPurdue University
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JN

Senior Data Scientist / Machine Learning Engineer specializing in production AI systems

Sunnyvale, CA5y exp
LytesnapUC San Diego
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NV

Mid-level Full-Stack Developer specializing in cloud-native and AI-powered platforms

Remote, USA3y exp
KPMGArizona State University
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MP

Junior Product Manager & Mobile App Founder specializing in FinTech and consumer apps

Toronto, Canada2y exp
RavyaSmith School of Business, Queen's University
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RB

Junior Full-Stack/AI Engineer specializing in mobile apps, data pipelines, and agentic systems

Atlanta, GA2y exp
CulldronGeorgia Tech
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SC

Intern AI/Software Engineer specializing in LLM agents and full-stack automation

San Francisco, CA1y exp
Addy AICarnegie Mellon University
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DH

Junior Software Engineer specializing in AI and FinTech operations

Chicago, IL1y exp
PwCRensselaer Polytechnic Institute
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SK

Mid-level Product Lead and Customer Success Manager specializing in SaaS analytics and GTM

Mountain View, CA2y exp
StealthSanta Clara University

Enterprise CSM with experience at IBM and Cloudera, focused on AI and cloud modernization engagements. Drives adoption, renewals, and expansion by building success plans with measurable ROI/usage outcomes, mediating complex stakeholder priorities, and unblocking deployments through tight Product/Engineering/Sales coordination. Also brings strong GTM analytics capability (Salesforce/HubSpot/GA/Tableau/SQL) to improve funnel performance and pipeline conversion.

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SS

Sayuj Shah

Screened

Mid-level Data Analyst & AI Practitioner specializing in ML, LLMs, and analytics platforms

Schaumburg, IL4y exp
U.S. CellularGeorgia Tech

Data Analyst at U.S. Cellular who built production LLM solutions, including a Tableau-embedded chatbot that converts natural language questions into Oracle SQL and returns actionable KPI insights for non-technical users. Also authored MAD-CTI, a multi-agent LLM system for dark web hacker forum threat intelligence (published in IEEE Access) that outperformed single-agent approaches by 14%.

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Timothy Harrison - Senior Software Engineer specializing in web and mobile applications in Warren, MI

Senior Software Engineer specializing in web and mobile applications

Warren, MI13y exp
Thrive MarketUniversity of South Florida
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SC

Senior Full-Stack Java Developer specializing in microservices, cloud, and real-time systems

6y exp
DiscoverUniversity of Dayton
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YG

Senior Software Engineer specializing in video streaming and media platforms

New York, NY6y exp
PelotonUniversity of Illinois Urbana-Champaign
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SW

Mid-level Applied AI Engineer specializing in reliable LLM agent workflows for regulated domains

Atlanta, GA3y exp
Ahia llcUniversity of Washington
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TL

Senior Full-Stack Software Engineer specializing in cloud-native web applications

Gilbert, AZ6y exp
InkSoftLincoln College
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GE

Junior Software QA Engineer specializing in AI-driven test automation

Littleton, CO1y exp
Emporia EnergyUC San Diego
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DD

Senior Python Backend Engineer specializing in Django, APIs, and AI automation

Mountain View, CA10y exp
IntuitTexas State University
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SB

Mid-Level Software Engineer specializing in GenAI and FinTech

San Francisco, CA6y exp
CascaQueen's University
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CY

Chenfei Yu

Screened

Junior Frontend Software Engineer specializing in React/Next.js micro-frontends

Sunnyvale, CA1y exp
WalmartBoston University

Frontend-leaning full-stack engineer who shipped a civic-tech Next.js/TypeScript app (Boston Police Index) with SSR, dynamic routing, and server-side data fetching, then iterated post-launch with UX and performance improvements. At Walmart (Seller Center micro-frontends), drove large-scale React/TypeScript refactors—standardizing state management, improving hook usage, and cutting type errors ~50%—and earned trust to serve as a code reviewer enforcing quality standards.

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