Artificial intelligence · Data science · Education

Exploring how technology and evidence can support better decisions and learning.

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My interests span artificial intelligence, machine learning, and data science, alongside the psychological dimensions of education and society. I'm interested in connecting these fields through practical projects and educational initiatives.

• Technology: AI, machine learning, and data-driven tools.
• Learning: Psychology, education, and the social impact of technology.
• Collaboration: AI projects, reproducible research, and educational initiatives.

An open-source engine for U.S. equity research and signal validation.

RigorGate turns a broad market universe into a focused research queue, with an evidence trail that makes data gaps, rejection reasons, and counterarguments visible.

• Transparent decisions: inspect the evidence behind each research candidate.
• Reproducible exploration: run an offline demo with deterministic synthetic data.
• Interactive learning: explore fictional market scenarios in the Replay Lab.

Python 3.11+ · Apache 2.0 · Research software

Explore the repository · Try the Replay Lab · Contributor guide

I'm open to collaborating on AI projects and educational initiatives, especially where data, learning, and clear reasoning intersect.

Email: khader@elahlya.net
Languages: Happy to communicate in Hebrew as well.
Pronouns: He/Him