Mar 26, 2026
Mechanistic Interpretability: From Memorization to Steering in GPT-2
This project demonstrates how to artificially induce memorization in a small LLM like GPT-2 Small, localize the memory circuits using…
machine-learningartificial-intelligencesoftware-developmentdeep-learning
Mar 20, 2026
Getting Started (in depth )with Local LLMs-and how to set them up
You can read the blog for free here.
software-developmentartificial-intelligencemachine-learningdata-science
Mar 5, 2026
RAGAS-Validated NL-to-SQL on Postgres — Final Chapter
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data-sciencedeep-learningartificial-intelligencemachine-learning
Mar 4, 2026
RAGAS‑Validated Natural Language Interface for SQL on Postgres — Day 2 Build Log
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data-scienceartificial-intelligencemachine-learningdeep-learning
Mar 2, 2026
RAGAS‑Validated Natural Language Interface for SQL Queries on Postgres — Day 1 Build Log
Not a medium member? Read here for free.
artificial-intelligencesoftware-developmentmachine-learningdeep-learning
Feb 21, 2026
Where can you ACTUALLY contribute to ML/DS?
Not a Medium member? Read here.
machine-learningaiartificial-intelligencedata-science
Jan 17, 2026
Building a Real-Time Fraud Detection System: Monitoring (Part 6/6)
The SRE Phase : From “It works” to “It’s healthy”.
artificial-intelligencedata-scienceaimachine-learning
Jan 17, 2026
Building a Real-Time Fraud Detection System: Containerization (Part 5/6)
Solving “It works on my machine” with Docker and uv.
software-developmentmachine-learningdata-scienceai
Jan 15, 2026
Building a Real-Time Fraud Detection System: Model Serving (Part 4/6)
Serving XGBoost predictions in 5ms using FastAPI and Pydantic.
aidata-sciencemachine-learninggoogle
Jan 15, 2026
Building a Real-Time Fraud Detection System: Model Training (Part 3/6)
Why 99% Accuracy is a Lie, and how XGBoost beat the Baseline.
machine-learningpythondata-scienceai