Growth & Experimentation
Applying experimentation, causal inference, and statistical modeling to understand user behavior, improve product experiences, and drive sustainable growth.
DATA SCIENCE / APPLIED AI / ENGINEERING
From data to decisions.
From ideas to systems.
I'm Ashwin — a data science leader working at the intersection of artificial intelligence, experimentation, and product growth.
I lead teams that turn complex problems into measurable outcomes, while exploring how AI changes the way we build and improve products.
01 / SELECTED FOCUS
What I work on.
Exploring the intersection of scientific thinking, intelligent systems, and business impact.
AI Systems & Engineering
Exploring agentic workflows, language models, evaluation frameworks, and the engineering principles behind reliable AI applications.
Building Teams & Products
Leading technical teams, connecting data science to product strategy, and building environments where rigorous thinking creates meaningful business outcomes.
02 / THE LAB
Projects.
Experiments, prototypes, and systems I'm building as I deepen my work in applied AI.
WORK IN PROGRESS
Follow my work on GitHub ↗Something interesting is taking shape.
I'm developing hands-on AI engineering projects focused on practical applications, evaluation, reliability, and real-world usefulness.
03 / IDEAS & NOTES
Writing.
Thoughts on artificial intelligence, product strategy, experimentation, and the questions worth asking.
NOTES FROM THE FIELD
More than just answers.
I'm interested in the ideas that challenge how we think about technology, organizations, and the future of intelligent systems. Articles and technical explorations will appear here.
04 / CONVERSATIONS
Speaking.
I enjoy conversations about data science, experimentation, AI, and building better products. This space will feature conference talks, presentations, and professional discussions.
05 / A LITTLE ABOUT ME
Curious by nature.
I'm a Senior Manager of Growth Data Science at Atlassian, where I lead teams working on product growth, experimentation, and data-driven decision making.
My background combines statistical thinking, commercial strategy, and technical leadership. I'm increasingly interested in building intelligent applications and understanding what makes AI systems genuinely useful.
Outside technology, you'll probably find me playing tennis or cricket, exploring somewhere new, or hunting for a great cup of coffee.