MUHAMMAD AHMAD MAhmad25

I build AI apps with Python and FastAPI. Most of my recent work is around RAG, research agents, and local LLMs. I also use React and React Native to build the interfaces.

One of my main projects is a desktop meeting and video assistant. It turns audio and video content into reports you can ask questions about, with the models running locally through Ollama.

Portfolio

Technical skills

Area	Languages, frameworks, and tools
Languages	Python, JavaScript, TypeScript, SQL
AI and retrieval	LangChain, LangGraph, ChromaDB, Ollama, Hugging Face
Machine learning and data	scikit-learn, TensorFlow, Pandas, NumPy, Jupyter
Backend frameworks	FastAPI, Node.js, Express
Web, mobile, and desktop	React, React Native, Next.js, shadcn/ui, Tailwind CSS, Expo, Electron, Vite
Databases and services	PostgreSQL, MongoDB, Supabase, Appwrite
Development and deployment	Git, AWS, Vercel

Things I've built

Searches the web, reads sources, and checks the findings before writing a report. You can follow each step as it runs.

_{Python · FastAPI · LangChain · React}

Code / Live demo

A desktop app that turns meetings and YouTube content into reports, then answers questions about them using RAG and local models.

_{Electron · FastAPI · LangChain · Ollama}

Code

Type some text and see its predicted sentiment. A trained scikit-learn model handles the prediction behind a FastAPI endpoint.

_{scikit-learn · FastAPI · React · TypeScript}

Code

Upload a PDF and ask questions about it. The app retrieves relevant passages and uses them as context for the answer.

_{FastAPI · LangChain · ChromaDB · Mistral · React}

Code

An LSTM trained on Shakespeare's Hamlet. Give it a phrase and it predicts what comes next.

_{TensorFlow · Keras · Streamlit}

Code

A React Native app for browsing movies and TV shows, exploring cast details, and watching trailers.

_{React Native · Expo · TypeScript · TMDB}

Code

More projects and experiments

AI and machine learning

Project	What I worked on
CineSage	Extracting movie information from text with an LLM
Voice agent	Speech input and voice responses with ElevenLabs
Heart disease prediction	Comparing models on a heart disease dataset
Ford car price prediction	Regression for used car prices
Movie recommendations	Content-based recommendations
CNN experiments · ANN experiments	Image classification and neural network practice
Classification models · Sentiment model	Training and comparing classifiers
Unsupervised learning	Clustering with K-means and DBSCAN