AI/ML
Principal Component Analysis in depth
Understanding PCA and its connection to linear algebra
Hi, I'm Manav Dahra
Backend Engineer & AI Interpretability Enthusiast
Exploring the depths of software engineering and AI safety through mechanistic interpretability. Sharing insights from a decade of building distributed systems and recent deep dives into understanding how AI models really work.
Latest Posts
AI/ML
Logistic regression in depth
Connecting Maximum Likelihood Estimation with Logistic regression
AI/ML
Linear regression in depth
Connecting Maximum Likelihood Estimation with Linear regression
What I Write About
Software Engineering
Distributed systems, microservices architecture, databases, and building scalable applications that serve millions of users.
AI Interpretability
Mechanistic interpretability, transformer circuits, AI safety research, and understanding what happens inside neural networks.
System Design
Real-world architectural patterns, performance optimization, and lessons learned from building production systems.
Deep Learning
PyTorch, transformers, reinforcement learning, and practical applications of machine learning in production.