~/ Hi, I'm Musaed Albedani |

AI Engineer

Specializing in LLMs , AI agents, and real-world GenAI applications.

react React
fastapi Fastapi
python Python
pytorch PyTorch
tensorflow Tensorflow
langchain Langchain
huggingface Huggingface
mysql Mysql
openrouter Openrouter
c++ C++
next Next
claude Claude Code
perplexity Perplexity
git Git
supabase Supabase
qwen Qwen
vercel Vercel
n8n N8n
react React
fastapi Fastapi
python Python
pytorch PyTorch
tensorflow Tensorflow
langchain Langchain
huggingface Huggingface
mysql Mysql
openrouter Openrouter
c++ C++
next Next
claude Claude Code
perplexity Perplexity
git Git
supabase Supabase
qwen Qwen
vercel Vercel
n8n N8n
react React
fastapi Fastapi
python Python
pytorch PyTorch
tensorflow Tensorflow
langchain Langchain
huggingface Huggingface
mysql Mysql
openrouter Openrouter
c++ C++
next Next
claude Claude Code
perplexity Perplexity
git Git
supabase Supabase
qwen Qwen
vercel Vercel
n8n N8n

What I do?

  • Designing AI systems that solve real business problems
  • Fine-tuning LLMs to improve task performance and adapt them to domain-specific requirements
  • Developing, testing, and deploying AI agents
  • Collecting, cleaning, and preparing large datasets
  • Structuring data for analytics and dashboards
  • Working with SQL, JSONL, Parquet, and cloud-based storage
  • Landing pages and business websites
  • Portfolio websites

My work

My SDAIA Co-op Project

09/2024 - 11/2024

Research Paper

Published Jul 2025

Social Media Listening

Sep 2025

Kudu Restaurant Reviews

Oct 2025
Deployed

A fine-tuned Arabic model that turns any tech article into a newsletter-ready summary.

My SDAIA Co-op Project

Automating SDAIA's newsletter: How I built a fine-tuned Arabic AI with RAG and exact source matching.

Stack

Next.js TypeScript LangChain RAG Fine-tuned LLM model ExtractorAPI
Published

Deep Learning-Based Vegetation Monitoring Using the NDVI Index

Research Paper

Published at IEEE AIIT 2025

Stack

Deep Learning Satellite Imagery Remote Sensing Computer Vision Data Engineer
Deployed

Sentiment analysis reveals: 3 out of every 4 people talking on social media are dissatisfied

Social Media Listening

A 30K-tweet analysis shows most people talking about the brand are unhappy. Here’s what customers complain about—and what the data reveals.

Stack

Python Web Scraping NLP LangChain LLM-based classifier Power BI
In Progress

282K Google Maps reviews across 14 years of Saudi fast-food customers

Kudu Restaurant Reviews

A 14-year look into what customers really think about Kudu: 282K Google reviews, cleaned and ready for sentiment analysis, insights, and Arabic NLP work.

Stack

Python Pandas Web Scrapping Data Collection Arabic NLP Data Cleaning

Let's talk

Let’s work together

owdm.ai@gmail.com
Riyadh & Jeddah, Saudi Arabia
My Resume