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andrew88989

Andrew

@andrew88989

Full Stack AI Developer, Learning Experience Architect

Vereinigte Staaten
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I build highly engaging, AI-driven web applications that convert static content into adaptive user experiences. Specialising in Next.js, PostgreSQL, and LLM integrations to help corporate L&D teams and high-ticket creators scale their platforms.... Mehr lesen

Kompetenzen

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andrew88989
Andrew
offline • 
Durchschnittliche Antwortzeit: 14 Stunden

Meine Dienstleistungen

Full-Stack-Webanwendungen
I will develop a custom ai lms web application, elearning platform, or ai tutor nextjs
Ab250 $ / ProjektWeitere Details
Fehlerbehebung
I will be your nextjs developer to fix nextjs bug debug react node js web application
Ab80 $ / ProjektWeitere Details

Arbeitserfahrung

Freelance

Freelance

7 yrs 3 mos

Senior Full-Stack & AI Systems Developer

May 2023 - Present • 3 yrs 6 mos

Provide end-to-end engineering for businesses looking to scale their digital infrastructure and integrate intelligent features. • Developed modular, production-ready web applications using Next.js, TypeScript, and Node.js, reducing client time-to-market significantly. • Architected secure database schemas with PostgreSQL and Prisma ORM, optimizing complex queries to improve platform response speeds by 35%. • Integrated advanced LLM APIs (OpenAI/Anthropic) and vector search pipelines to build interactive, contextual user experiences. • Maintained strict version control and deployment pipelines using Git, GitHub, and cloud platforms like Vercel/AWS.

Full-Stack Software Engineer

Feb 2023 - Present • 3 yrs 9 mos

Collaborated in agile environments to build, test, and deploy scalable consumer-facing web applications. • Built responsive frontend interfaces using React and managed global application states efficiently. • Designed and documented clean RESTful APIs to facilitate seamless communication between frontends and backend services. • Automated internal workflows and data processing pipelines, cutting manual management overhead by 20 hours per week. • Wrote robust unit and integration tests to ensure 95%+ code reliability prior to production deployment.