luckytaorem

@LuckyTaorem

Taorem Lucky Singh

Full Stack Developer & AI Engineer | Building Scalable Web Apps & LLM/RAG System...
Noida, Uttar Pradesh luckytaorem.github.io Joined October 2026
317 Points • 9 Badges • 6 Connections • 6 Followers • 9 Following

About

I am a Full-Stack Web and AI Engineer with a background in Computer Science, dedicated to building high-performance, data-driven applications and reliable automated systems. My exp... Show more

Top Skills

HTML • CSS • JS • React.js • Node.js • Express.js • MongoDb • Nest.js • PHP • Python • AI/LLMs • RestAPIs • MySQL • WordPress • Hosting • SEO

Experience

WordPress Developer

ForceFriction AI

Education

Lovely Professional University

Bechelor in Technology, Computer Science and Engineering

Lovely Professional University

Diploma, Computer Science and Engineering

Projects

LT Developer Blogs & AI Publishing Pipeline

Visit Project open_in_new

Deploy AI-driven publishing architectures, dynamic web applications, and hands-free content engines that scale automatically.

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Joined: 1 day (since Oct 8)
Full Name: Taorem Lucky Singh
Headline: Full Stack Developer & AI Engineer | Building Scalable Web Apps & LLM/RAG Systems
About: I am a Full-Stack Web and AI Engineer with a background in Computer Science, dedicated to building high-performance, data-driven applications and reliable automated systems. My experience spans both client-side and server-side engineering, from architecting responsive user interfaces with React and JavaScript to developing robust backend microservices, REST/GraphQL APIs, and database integrations in PHP and Node.js. Beyond core application development, I design autonomous workflows using n8n, scheduled CI/CD runners, and generative AI APIs to synchronize cross-platform data, automate repetitive tasks, and optimize overall operational efficiency. I am passionate about shipping clean, well-documented code that solves tangible problems and drives measurable business impact.
Location: Noida, Uttar Pradesh
Website: https://luckytaorem.github.io/
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