Vetted State Management Professionals

Pre-screened and vetted.

JD

Junior ML Engineer specializing in search, retrieval, and recommendation systems

San Francisco, CA1y exp
SonauticActualize Coding Bootcamp
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DS

Mid-Level Full-Stack Software Developer specializing in cloud-native web applications

San Francisco, CA4y exp
LYKAS, IncCalifornia State University, Fullerton
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TK

Intern iOS Engineer specializing in SwiftUI, MVVM, and API integrations

Remote0y exp
VitaByteUniversity at Buffalo
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RS

Junior Full-Stack Engineer specializing in AI and FinTech integrations

Remote1y exp
GimmieAIStevens Institute of Technology
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JK

Junior Frontend Software Engineer specializing in React and TypeScript

Gujarat, India1y exp
ProjectTree Technology Private LimitedUniversity of Windsor
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HM

Mid-level Full-Stack & Mobile Developer specializing in Flutter and modern web stacks

Remote (Munich, Germany)7y exp
CamsolPeel College of Professional Studies
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DM

Mid-level Database Developer specializing in SQL, ETL, and cloud data platforms

Miami, FL5y exp
Lean KitchenFlorida International University
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SA

Senior UI/UX & Product Designer specializing in design systems and high-craft visual experiences

Remote4y exp
Digital EmissionsArizona State University
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LK

Senior Frontend/Full-Stack Developer specializing in React, Next.js, and Node.js

Lagos, Nigeria7y exp
Artisan TechnologiesLadoke Akintola University of Technology
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IP

Mid-Level Full-Stack & Mobile Engineer specializing in React, React Native, and serverless apps

Bangkok, Thailand3y exp
FreelanceHanze University of Applied Sciences
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DO

Mid-level Frontend Engineer specializing in React/Next.js and blockchain products

4y exp
TRICODE PROUniversity of Lagos
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YH

Senior Front-End Developer specializing in React and TypeScript

Waterloo, ON4y exp
Cognitive SystemsJuno College of Technology
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BK

Junior Full-Stack Engineer specializing in Next.js and modern web platforms

Sunnyvale, CA2y exp
EridanUniversity of San Francisco
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MR

Mid-Level Software Engineer specializing in mobile and web applications

Calgary, AB6y exp
Moonshot Partners
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CC

Junior Applied AI Engineer specializing in local LLM systems

2y exp
Local 1st AI
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PL

Patsy Lin

Screened ReferencesStrong rec.

Junior Full-Stack Software Developer specializing in PERN web applications

San Francisco, CA12y exp
The San Francisco SchoolFullstack Academy

Built and shipped a "Strangers Things" app from a messy prototype to a deployed Vercel product by running informal user tests and converting UX pain points (login friction, clunky messaging, session persistence) into targeted technical fixes. Also has teaching/demo experience, including adapting a Scratch coding workshop for young students, highlighting strong audience-aware communication and troubleshooting skills.

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AM

Adam Martinez

Screened

Entry-level Full-Stack Engineer specializing in web, mobile, and AI-integrated applications

New York City, NY1y exp
BodyCraftManhattan College

Built a Gemini-powered conversational shopping assistant for a retail jewelry client end-to-end, including LLM integration, Firestore data layer, UI, stock validation, and owner-facing analytics. Also architected multi-agent research workflows with CrewAI/OpenAI and shows strong judgment around validation gates, idempotency, and fail-loudly design for messy real-world operational systems.

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LK

Junior Full-Stack Engineer specializing in AI-powered web applications

Kansas, USA1y exp
Todaiyo.aiUniversity of Central Missouri

Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.

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JK

Jeevan Kumar

Screened

Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG

Remote, USA5y exp
Augmented AIUniversity of Massachusetts Dartmouth

Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.

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Vinay Vallabineni - Mid-Level Full-Stack Engineer specializing in React, TypeScript, and Node.js in Columbus, OH

Mid-Level Full-Stack Engineer specializing in React, TypeScript, and Node.js

Columbus, OH3y exp
One CommunityWright State University
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