Portfolio

Work

I build AI that teaches: large-scale learning platforms today, self-improving remediation research for tomorrow — and the courses that taught a generation of AI engineers.

01 · Company

Founder & CEO, LiveTech.AI

LiveTech.AI is an AI-powered learning company. Our platform combines personalized learning paths for students, AI teaching tools (lesson plans, homework, grading) that save teachers 5+ hours a week, and school-wide analytics for leaders.

Large-scale deployments

  • 01
    Kazakhstan Ministry of EducationAI Kitab personalized learning app — 1.5M learners
  • 02
    Morocco Ministry of EducationNational AI-enabled analytics platform — ~7M learners
  • 03
    Washington StateWashington Learning Source approved vendor (WLS327)

Also active in the UAE, Saudi Arabia, Qatar, Bahrain, and Mauritania.

Current research: AI Native Remediation

A self-improving knowledge graph for K-8 math diagnosis and remediation. It jointly learns each student's prerequisites and misconceptions from curriculum materials and wrong-answer evidence — then tells teachers why a student is behind and fixes the gap. Remediation that gets better with every click.

District AI Program

A ready-made family engagement program for the age of AI: a personalized learning app for families and educators, a monthly live AI briefing, and courses on AI literacy and family engagement for parents, teachers, and leaders.

Visit livetech.ai

02 · Teaching

Teaching AI at scale

With DeepLearning.AI and Andrew Ng, I helped build the Deep Learning Specialization and the Natural Language Processing Specialization on Coursera — 50+ AI programming assignments with autograders, hundreds of lectures, and 2.5M+ learners worldwide.

At Stanford, I helped build three AI courses and taught two of them alongside Andrew Ng.

01 Coursera · DeepLearning.AI

Deep Learning Specialization

Neural Networks and Deep Learning; Hyperparameter Tuning; Structuring ML Projects; Convolutional Neural Networks; Sequence Models. Course page

02 Coursera · DeepLearning.AI

NLP Specialization

Classification & Vector Spaces; Probabilistic Models; Sequence Models; Attention Models — from Naive Bayes to transformers and chatbots. Course page

03 Stanford

CS129 · CS230 · CS93

Applied Machine Learning (CS129), Deep Learning (CS230), and Teaching AI (CS93) — Stanford courses I helped create and teach.

Interested in working together?

School districts, ministries of education, publishers, and fellow builders — my inbox is open.

Get in touch