You made it!

Thanks for being part of my journey 🚉

I write a lot, but don’t publish often, as each of my posts takes a non-trivial amount of time to write. I my writing follows three main themes.

1. Technical deep dives

   I like learning new technical concepts, and the best way for me to learn about something is by explaining it in writing. Most of these posts are long, as I go fairly deep into these concepts. Here are some examples:

   • RLHF
   • ML compiler
   • Real-time machine learning
   • Data distribution shifts and monitoring
   • Streaming

2. AI/ML landscapes

   Sometimes, I find it useful to take a step back and look at the big picture. I talk to people smarter than me about how they see things evolve and try to find patterns. I often rely on data and analysis to find patterns. Examples:

   • Open challenges in LLM research
   • Building LLM applications for production
   • What I learned from looking at 200 machine learning tools

3. Perspective

   I follow the rule of three: if three people ask me the same question, I try to put the answer into writing. Sometimes, the answers are made public. These posts are highly subjective.

   • MLOps Guide
   • Career advice for recent Computer Science graduates
   • What we look for in a resume
   • Reviews of Stanford AI courses

I’m thinking of adding another theme, industry-specific AI applications, to cover emerging AI use cases for different industries, such as e-commerce, healthcare, gaming, etc.

Let me know what types of posts you’d like to see from me. Thank you!