
Mini AI HR
A full-stack HR admin platform with an LLM-powered assistant, built on Next.js 16, Supabase, and Groq's Llama 3.3 70B.
I build user-facing web applications and integrate LLM-powered functionality with a strong frontend focus across React, Next.js, and Angular.
Nabil Al-Harethi
I build user-facing web applications and integrate LLM-powered functionality, with a strong frontend focus across React, Next.js, and Angular.
LLM integration, generative AI, voice AI, prompt engineering, intent classification, and the Groq API.
React, Next.js, and Angular 19–20, built with TypeScript, RxJS, Tailwind CSS, and a close eye on usability.
Node.js, ASP.NET Core, REST APIs and Server Actions, backed by PostgreSQL, Supabase, MySQL, and SQL Server.
Selected Projects
Each project documents the problem, the solution, the architecture, the technical risks, and how it shipped.

A full-stack HR admin platform with an LLM-powered assistant, built on Next.js 16, Supabase, and Groq's Llama 3.3 70B.

An async Python pipeline that fetched and classified robots.txt files across roughly 967,000 domains to power a large-scale compliance dataset.

Bachelor's thesis classifying robots.txt defenses across 809 European news domains assessing how well the Robots Exclusion Protocol holds up against generative AI crawlers.

A real-time internal web application built during a full-stack internship using ASP.NET Core, Angular, and SignalR.
Skills
Education
Aug 2026 – ongoing
Linnaeus University, Sweden
Focus
2022 – 2026
Linnaeus University, Sweden
Focus
I am open to full-stack developer roles and AI-integration projects in Sweden and remotely.