Top Talent: The OpenAI Database Story
An analysis of OpenAI's database scaling and the CMU talent pipeline behind it.
Pillar three · Applied systems
Data Systems & Applied AI
Databases, machine learning, benchmarks, and domain research grounded in real implementation details.
What belongs here
Explore how data models, algorithms, and domain constraints shape systems people can actually use.
9 published essays in this collection.
Maximizing the BigQuery Free Tier: A Complete Cost Control Guide
Learn how to maximize Google BigQuery's free tier while avoiding unexpected costs. Discover smart querying strategies, data modeling techniques, and essential cost control measures.
Pandas vs Polars vs DuckDB - Performance Showdown on Flight Data
A comprehensive performance comparison between Pandas, Polars, and DuckDB using a large flight delay dataset. Discover which library reigns supreme for data analytics.
OpenAI Just Dropped a Bombshell: Meet gpt-oss, Their New Open-Weight Models
OpenAI has released gpt-oss-120b and gpt-oss-20b as open-weight models under Apache 2.0 license. Discover their impressive benchmarks, efficient MoE architecture, and how they compare to proprietary models.
Fine-Tuning Phi-3 Mini for Coronary Artery Disease Prediction
Learn how to fine-tune Microsoft's Phi-3-mini model for heart disease prediction using LoRA and quantization techniques. A complete guide from setup to deployment.
Meet Kimi K2 – A Chill Intro to Agentic AI
Discover Kimi K2, the cutting-edge agentic AI model with 1 trillion parameters. Learn about its tool-using capabilities, impressive benchmarks, and how to integrate it into your projects today.
Barriers, Giants, and Imaging Wars: The Competitive Moats of Medical Imaging
Exploring barriers, giants, and imaging wars: the competitive moats of medical imaging
Transforming Clinical Trials: Adaptive Approaches for Better Patient Outcomes
Exploring transforming clinical trials: adaptive approaches for better patient outcomes
On Singular Value Decomposition and Its Use in Recommendation Systems
Exploring on singular value decomposition and it's use in recommendation systems