Building AI Systems at Scale

Background

I am a Principal ML Architect who has spent over a decade leading 0→1 transformation at the intersection of AI research and massive-scale engineering. Whether founding the Personalization team at Attentive, architecting Twitter's next-gen ranking systems, or leading the Foundation Models team at Atlassian, I specialize in building the high-impact "engines" and creating the global awareness that drive the AI revolution.

Previously, I founded and led the Personalization ML team at Attentive (0→1, 15+ engineers), built reply/home feed ranking systems at Twitter that served tens of millions of QPS, and worked on international shipping ML at Amazon. My engineering work has driven >30% engagement gains at Twitter, 10x training speedups, and 20% latency improvements in production.

I hold an MS in Computer Science from UC San Diego, where I studied under Prof. Julian McAuley in the Machine Learning and Recommender Systems lab.

Research Interests

My research sits at the intersection of NLP, recommender systems, and deep learning. I have published in top-tier venues including ACL (#1 in Computational Linguistics), WSDM (15% acceptance rate), and RecSys, accumulating 1,150+ citations. OpenAlex ranks my research impact in the top 1% globally.

Researchers from 30+ countries across 6 continents have cited my work. My Kaggle datasets (News Category, Sarcasm Detection, Clothing Fit) have been downloaded 180,000+ times and adopted for coursework at institutions including the University of Paris-Saclay.

I serve as a reviewer and program committee member at 20+ leading AI conferences including SIGIR, CIKM, RecSys, ICML, KDD, and TheWebConf.

Architecting at Scale

I don't just use AI; I architect the foundation. I specialize in designing low-latency, large-scale ML systems from the ground up—from pre-training foundational models to deploying 0→1 infrastructures. My systems have served 10M+ QPS and processed hundreds of millions of data points across Atlassian, Twitter, and Amazon.

I am the co-author of Sculpting Data for ML (used in Deeplearning.ai's NLP course and Google's TF certification), and create educational content on Udacity and LinkedIn Learning.

Work with Me

I work with brands, teams, and organizations at the intersection of AI research and production engineering:

• Brand & creator partnerships (AI, dev tools, education)
• Advisory & consulting for AI strategy and systems
• Keynotes, talks & workshops