On AI Lounge since Oct 2026
Ahmad Varasteh
Member #1,297FounderL3Founder, octochains
TPO | AI Course Author @coursera | Founder of octochains
How karma works. Everyone starts with 5. You get +1 each time another member upvotes one of your posts or comments (your own upvotes don't count), and lose it if they take the upvote back. Post what you're building, answer questions and help other members to earn more.
Achievements
Plugged In ×3Connected sources: GitHub, Hugging Face, LinkedIn, X, website.How: Connected 3 sources (GitHub, LinkedIn, X or a website) in Settings
Plugged In×3Featured
Shipper ×2Projects on your profile.How: Added 5 projects to their profile
Shipper×2
No posts yet
Ahmad Varasteh hasn't posted yet.
Pinned projects
A lightweight Python framework for parallel, isolated, collaborative AI reasoning.
agentic-workflowaiagentscollaborative-reasoningdecision-makingmulti-agent-systemsparallel-processing
Solve fictional crime cases with Python & data analysis. Weekly Jupyter notebooks, datasets, and case materials where you investigate mysteries using Pandas, visualization, and storytelling.
Data-Scenario is a repository designed to help professionals and students master data science by solving real-world problems. Each project in this repository is built around a realistic scenario, guiding you step-by-step through the process of tackling complex challenges using various data science techniques.
This repository provides Python implementations for Non-negative Matrix Factorization (NMF) using the Multiplicative Update (MU) algorithm. Two initialization methods are supported: random initialization and Non-negative Double Singular Value Decomposition (NNDSVD). NMF is a matrix factorization technique used in various fields, including topic mod
classic-machine-learninglinear-algebramachine-learning-algorithmsnon-negative-matrix-factorization
COVID-19 from a data science prespective
A Python-based tool for context-based search across text documents using OpenAI embeddings and Chroma vector storage. This system enables efficient querying of document collections by generating vector embeddings, storing them persistently, and retrieving relevant results based on textual queries.
chromadbcontextual-searchdocument-retrievalembeddings
langchainmachine-learning
About
Ahmad Varasteh is the founder of octochains, which makes a lightweight Python framework for parallel, isolated, collaborative AI reasoning. Ahmad is also an AI course author on Coursera, where courses cover data analysis with the OpenAI API, and has published open-source Python projects on GitHub. Public work includes a Python tool for context-based search across text documents, built on OpenAI embeddings and Chroma vector storage.
Categories
Experience
Product Owner @ exorbyte | Multi-Agent Reasoning Systems
Product Owner · exorbyte GmbH
Data Science Software Engineer - NLP and Algorithms · exorbyte GmbH
Portfolio Manager – AI and Data Analytics · Ironhack
Data Science Specialist · user generated design GmbH
Tutor · University of Konstanz
Data Science Intern · KNIME
AI Course Author · Coursera
University Instructor · Sadjad University of Technology
