Now

What I'm currently building, learning, writing, and thinking about.

Currently Building

Currently Building

AI Career Guidance Platform - Python ML platform helping students make informed career decisions
AI and ML Book Series - practical book series for Python developers applying ML in production

Recent Experiments

Recent Experiments

LLM orchestration patterns - comparing tool-use reliability across models at production scale
Structured output enforcement in Python inference pipelines
Local model inference for privacy-sensitive workloads

Learning Focus

Learning Focus

ML serving architectures - batching, caching, quantisation and real-world latency tradeoffs
Evaluation frameworks for AI apps - moving beyond vibes-based testing
Operational realities of agentic systems beyond the demos

Recent Writing

Recent Writing

AI tooling comparisons and practical evaluations
Cloud security in AI infrastructure - access control and secret management
DevOps patterns applied to ML systems - CI/CD for models

Thinking About

Thinking About

How much of the current AI enthusiasm will survive contact with production at scale
What senior engineering means when code generation shifts the leverage ratio between thinking and typing

Open To

Open To

Consulting on cloud infrastructure, DevOps, and AI system design
Collaboration on tooling or written work in the DevOps and AI space
Conversations with engineers working on similar production problems

Last updated: April 2026 — inspired by nownownow.com