About Me
👋 Hi there! I'm Rahul, a Machine Learning Engineer on a mission to demystify AI and machine learning for practitioners at all levels. With over a decade in tech, including roles at Facebook (Meta), Walmart, and Citi, I write about ML engineering from the perspective of someone who's been in the trenches.
There's often a misconception that working in ML/AI means you automatically understand every new development in this rapidly evolving field. This newsletter is all about providing a trusted resource from someone who's walking the same path and facing the same challenges you are today.
Currently, I'm building AI solutions at Roku in London, where I focus on scaling machine learning systems. I'm tool agnostic and believe in choosing the right tool for the job, though Python, Hadoop, and Spark are my daily companions.
What You'll Get
Expect detailed technical deep-dives, practical code examples, and real-world insights into:
Machine Learning System Design
AI Infrastructure and Scaling
Data Engineering Best Practices
Industry Trends and Analysis
Newsletter Structure
Read by ML Engineers across the industry
🔒 For premium members:
Extended deep-dive articles
Access to the full archive
Priority responses to technical questions
Suggest topics and shape what I write
🙌 For free subscribers:
Extended deep-dive articles
Access to the full archive
Expensing the Newsletter
Your subscription receipt will be emailed to you as soon as you become a paying member. It can serve as a receipt for expensing at companies that support professional development.
Need to Get in Touch?
The best way to reach me is to reply to any newsletter issue - it goes straight to my primary inbox. For direct queries:
Email: [email protected]
Connect on LinkedIn
Follow on Twitter
Looking for 1:1 ML Mentoring?
Partner with me to accelerate your ML career. Together we can:
Review your ML system design challenges
Create a personalized learning roadmap
Develop practical implementation strategies
Help with your mock interviews for both ML System as well as Coding
Navigate technical decision-making
Are you a machine learning practitioner or aspiring to be one? That's a good thing. Accept where you are and build from there. The true power of continuous learning is the optionality it gives you. You're already interested in growing - let's make that growth structured and purposeful.
Subscribe to get full access to the newsletter and website. Never miss an update.
Most newsletters rely on paywalls for monetization. I prefer to keep core content free and lean on support from those who find value in the extended insights. If you want to support this work, I greatly appreciate paid subscribers who make this sustainable.