Available for opportunities
I build thoughtful digital products at the intersection of engineering and design. Passionate about clean code, great user experiences, and solving problems that matter.
Driving enterprise AI orchestration, AI systems integration, and agentic solutions to empower businesses with intelligent automation and scalable AI architectures.
Founded and leading a global AI, machine learning, and cloud education platform with over 1,500,000 enrollments and 350,000+ students across 80+ courses, encompassing Generative AI, Agentic AI, AI Product Management, and Quantum Computing.
Collaborating on advancing AI-driven video innovation, AI avatar workflows, and digital twin content engines.
Spearheaded enterprise AI strategies, large-scale machine learning initiatives, and key digital transformation programs across mission-critical systems.
Since 2010, School of AI has been delivering top-tier AI education — from foundational concepts to advanced machine learning, deep learning, and agentic systems. All courses available on Udemy.
Architect modern AI datacenters with GPU clusters, high-speed networking, storage, and orchestration
Build real-world artificial intelligence applications from data pipelines to production deployment
Implement robust AI frameworks, compliance assessments, risk management, and responsible AI
Foundational concepts and architecture for high-performance GPU-accelerated computing infrastructure
A comprehensive breakdown of non-fungible tokens, digital assets, smart contracts, and ecosystem mechanics
A fast, practical introduction to distributed ledgers, consensus algorithms, and decentralized architectures
Strategic frameworks and playbooks for driving tech disruption and sustainable business growth across industries
A custom remote control for tvOS — supports both TvOS App and iOS App as a companion remote. One of the most-starred iOS projects in the repo collection, with MIT license and community adoption.
A comprehensive AI curriculum covering Core Foundations, Math & Statistics, Classical ML, Deep Learning, Generative AI & LLMs, Agentic Systems, MLOps, Security, and Production-level Portfolio Projects — end to end.
A structured interview mastery guide for Full-Stack / Developer Engineers. Covers Customer Discovery, Requirements, Solution Architecture, Rapid Prototyping, AI & Data Engineering, and Production Deployment end-to-end.
A collection of 100 AI agent implementations — each one a self-contained Markdown spec exploring a different agent design pattern, use case, and architecture across domains from productivity to code generation.
Have a project in mind or just want to say hi?
I'm always open to interesting conversations.