I'm a seasoned AI Scientist/Engineer with a passion for modeling relationships between entities and building machine learning systems that actually work in the real world. Currently leading AI, ML, and Data Science teams to deliver scalable GenAI applications and robust ML systems serving millions of users.

• Lead & Build: Guide cross-functional teams in developing production-ready AI/ML systems across multiple industries
• Write & Share: Author in-depth technical articles exploring ML/DS/AI theory, internals, and practical insights on my blog
• Create & Contribute: Actively contribute to open source, believing that knowledge should be freely accessible
• Mentor & Grow: Passionate about developing talent, both within my teams and the broader tech community
• Optimize & Scale: Obsessed with computational efficiency and making infrastructure sing

• 🤖 Building scalable and reliable GenAI applications for massive user bases
• 📊 Architecting ML systems that balance innovation with production stability
• ⚡ Exploring computational efficiency improvements in ML pipelines
• 🔧 Developing tools that make ML practitioners' lives easier

Most ML projects fail slowly… because iteration is slow.

cmn_ai kills the boilerplate so you can go from idea → experiment → result in hours, not weeks.

Tiny-PyTorch — Lift the hood on deep learning. Build Tensors, autograd, and CUDA backends from scratch.

• 🧠 Attention Is All You Need… But Here’s the Rest]
• 🏗️ Designing ML Systems
• ⚡ Building GPT(2/3) from Scratch: Turning Theory into a Working Transformer]
• 🔍 Hard Leassons in Shipping AI/ML Projects

Check out more on my blog

I believe in the power of community and collaboration. Whether you're:

• Looking for mentorship in ML/AI
• Interested in contributing to my projects
• Want to discuss recent advancement in ML/AI
• Have questions about scaling ML systems

Feel free to reach out!

principles = {
    "open_source": "Everything I build should be accessible",
    "mentorship": "Lifting others as we climb",
    "efficiency": "Make it work, make it right, make it fast",
    "pragmatism": "Theory is great, but does it work at scale?",
    "curiosity": "Always learning, always building"
}

• 💼 LinkedIn
• 🐦 Twitter/X
• 📝 Blog
• 📧 Email

"The best way to understand something is to build it from scratch, then make it go brrr."