Vetted Lazy Loading Professionals

Pre-screened and vetted.

Mahmoud Nassar - Junior Front-End Developer specializing in React web interfaces in El Santa, Egypt

Junior Front-End Developer specializing in React web interfaces

El Santa, Egypt2y exp
OlsparkTanta University

Frontend-focused React/TypeScript candidate with hands-on experience building animation-heavy dashboard and portfolio applications using Tailwind CSS, GSAP, and Three.js. Stands out for strong attention to performance, including diagnosing re-render issues with DevTools, restructuring state flow, and optimizing complex 3D and animated interfaces for lower-end devices.

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Aryan Chauhan - Junior Software Developer specializing in Angular, blockchain, and web applications in Mohali, India

Junior Software Developer specializing in Angular, blockchain, and web applications

Mohali, India2y exp
Elyria Soft Pvt LtdCarrier Point University
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KR

Junior Full-Stack Software Engineer specializing in React/Next.js and TypeScript

Remote, NJ2y exp
The F Word IncBergen Community College
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MA

Mid-level Frontend Developer specializing in React and Next.js

3y exp
Delta 360 Services Pvt. Ltd.Lakshmi Narain College of Engineering
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GK

Senior Full-Stack Developer specializing in Next.js, Web3, and scalable web apps

Remote6y exp
Freelance
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JS

Jazib Shakoor

Screened

Junior Full-Stack Developer specializing in FinTech automation and real-time dashboards

Dubai, UAE2y exp
GODORiphah International University

Full-stack JavaScript developer (Node + React) who built a CRM system end-to-end, including fine-grained access control (RBAC plus per-user permissions) and user activity tracking. Currently focused on performance optimization for a data-heavy web app, applying lazy loading, image compression, and pagination to dramatically reduce load times, and has implemented per-user API rate limiting to control request bursts.

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MR

Intern Full-Stack Software Engineer specializing in AI-powered RAG systems

Lebanon0y exp
CodVedaLebanese University

Built FlowPilot, an AI-powered product that generates complete importable n8n workflows from natural-language prompts using a RAG pipeline (Qdrant + LangChain) and a multi-stage agent with a scoring/repair 'Judge' loop for intent alignment. Experienced in backend architecture across Laravel/Node microservices and production AI/RAG systems, plus performance debugging from async job offloading to database index tuning after ORM migrations.

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Tejaswini E - Entry-level Software Engineer specializing in computer science and applied ML/IoT in Bengaluru, India

Tejaswini E

Screened

Entry-level Software Engineer specializing in computer science and applied ML/IoT

Bengaluru, India0y exp
Sri Venkateshwara College of Engineering

Built a community cleanliness reporting Android app focused on helping citizens and volunteers report illegal waste dumping through maps, image uploads, and real-time updates. Stands out for combining modern Android UI architecture, Firebase-backed real-time features, and practical performance tuning for lower-end devices while keeping the experience simple for general public users.

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NP

Entry Research Associate specializing in evaluation and survey research

Powell, OH0y exp
Measurement Resources Company

Salesforce-focused candidate with hands-on experience improving opportunity pipeline governance, reporting accuracy, and sales workflow usability in Sales Cloud. They demonstrate practical platform depth across validation rules, flows, LWC, Aura, Apex, and Salesforce security, with a clear modernization mindset toward scalable and maintainable solutions.

Data analysisData cleaningDebuggingLazy loadingQuantitative data collectionQualitative data collection+57
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NR

Junior Unity Game Developer specializing in 3D multiplayer mobile games

Cluj-Napoca, Romania2y exp
EVL PPYKedainiai Professional Training Center
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