Yosef Zewdu
Building intelligent systems at the intersection of deep learning, generative AI, and neuro-symbolic AI. Focused on Agentic AI, computer vision, and applied machine learning research.
Featured Projects
A selection of research projects spanning generative AI, computer vision, and cognitive architectures.
Oracle Forge — Multi-Database Data Agent
A multi-database analytics agent built for the UC Berkeley DataAgentBench benchmark. Answers natural-language questions across PostgreSQL, MongoDB, SQLite, and DuckDB using MCP.
Document Intelligence Refinery
An agentic document processing pipeline that automatically classifies documents and executes structured data extraction using a multi-stage LangGraph architecture.
OpenCog Hyperon: OpenPSI
A cognitive-affective architecture port to the MeTTa language within OpenCog Hyperon, modeling internal drives and emotions using symbolic hypergraphs.
rPPG Remote Heart Rate Detection
A computer vision system that extracts heart rate from facial video using remote photoplethysmography (rPPG), enabling contactless vital sign monitoring.
Medical Diagnosis Expert System
A MeTTa-based implementation of a classical rule-based system for clinical inference, demonstrating backward chaining for traceable diagnoses.
Fraud Detection System
An end-to-end machine learning pipeline for detecting fraudulent transactions using ensemble methods and advanced feature engineering on imbalanced datasets.
Research Focus
Core areas driving my work at the intersection of intelligence, perception, and cognition.
Deep Learning
Neural network architectures and advanced training techniques for solving complex perception and reasoning tasks.
Generative AI
Diffusion models, GANs, and image synthesis — building systems that create, not just classify.
Neuro-symbolic AI
Combining neural learning with symbolic reasoning to bridge the gap between pattern recognition and structured thought.
Cognitive Architectures
OpenCog, Hyperon, and frameworks for general intelligence — designing minds, not just models.
Computer Vision
Image processing, rPPG-based vital sign detection, and visual understanding from pixels to meaning.
From the Blog
Thoughts on AI research, deep learning, and the ideas I'm exploring.
May 2, 2024
Neuro-Symbolic AI: Bridging Deep Learning and Symbolic Reasoning with OpenCog Hyperon
March 15, 2024