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Farhad Rezazadeh, PhD, MBA
founderMachine Learning Scientist | Founder & Coordinator at IEEE TRUST-IoT and ACM EIGTRUST | XAI | GenAI | LLM | BioTech | TravelTech | 6GTech
Public projects
LangChain-RAG-Technology
Harnessing Retrieval-Augmented Generation (RAG) with LangChain for intelligent and efficient AI-powered information retrieval and decision-making.
Python
serverless-llm-agentic-ai
A complete, end-to-end educational course on building scalable LLM and Agentic AI systems using Modal’s serverless compute platform with source code, notebooks, and examples for full YouTube course.
Jupyter Notebook
Custom-OpenAI-GYM-for-DRL-Algorithms
A multi-agent reinforcement learning framework for a custom OpenAI Gym environment (BS-v0), combining Echo State Networks (ESN) for temporal encoding and Graph Convolutional Networks (GCN) for relational state representation, trained via the REINFORCE algorithm.
Python
Time-Series-Foundation-Model
Masked‑patch Transformers for multivariate time‑series: self‑supervised pre‑training, KPI fine‑tuning and lightning‑fast inference — all in pure PyTorch.
Python
Multi-Agent-LLM-Dialogue
This application allows users to engage with multiple AI models (currently including OPEN AI, CLAUDE, and OLLAMA) simultaneously.
Python
Pytorch-Tutorial
Pytorch-Tutorial is a structured, beginner-to-advanced series of Jupyter notebooks that walks you step-by-step through the core concepts, workflows, and best practices for deep learning with PyTorch.
Jupyter Notebook
Likely stack
ClaudeOpenAILangChainLangGraphLlamaPyTorchTransformersOllamaVector DBMCP
