I'm Eeshan. I lead a data science team at Starbucks focused on AI/ML, personalization, and experimentation, including recommendation models powering the Starbucks app for 40M+ users.
12+ years across engineering, marketing analytics, modeling, and team leadership. CS undergrad, MBA. Not ex-FAANG. Not Ivy League. Just someone who likes making things work, learning by doing, and working with smart people.
On the side, I build apps on AI, data science & privacy to understand what actually holds up beyond the demo. Each project goes end-to-end β design, engineering, analytics, real users, published analysis. Everything here is open source and non-commercial.
π¬ Latest projects:
- A/B Testing Memory Game β a live experiment on difficulty and player behavior, with published statistical analysis. Play and contribute to the "power"!
- Local LLM Bench β benchmarking local model accuracy on structured data extraction across MLX and Ollama
- How I Prompt β analyze your Claude conversation history and discover your prompting patterns
βοΈ Writing: Asymptotic β pragmatic takes on AI, data science, and privacy. Past the hype cycles.
π« How to reach me: LinkedIn | Twitter / X
In my free time, I enjoy kickboxing, running, painting, reading, and basketball.

