Gökhan Çiflikli

Principal AI Engineer

Building Wellbeing Intelligence at Healf.

17 years in AI/ML. PhD. Research to production.

About

A methodologist and computational social scientist by training, with 17 years of experience in tech, open-source software, and applied research. I hold a PhD from the London School of Economics where I remain a Visiting Senior Fellow at the Data Science Institute.

I’m passionate about aligning technical work with business needs to maximise ROI on data initiatives. I publish TeamCraft, a newsletter on technical team management, and write about MLOps tools in the Python ecosystem. I also play bass guitar and have an EP on Spotify.

What I Do

Build AI Products
Design and ship agentic AI, recommendation engines, and LLM-powered features that move business metrics
Scale ML Systems
Production ML platforms with monitoring, drift detection, and automated retraining. Models that keep delivering
Own the Infrastructure
Cloud-native on AWS and GCP | containerised, IaC-driven, built to handle real traffic
Lead Engineering Teams
Technical strategy, hiring, mentoring; translating business goals into engineering roadmaps

Currently

Healf
Building AI-powered wellbeing intelligence — personalised product recommendations, search, and content curation.
TeamCraft
Writing a newsletter on technical team management for engineering middle managers.
LSE Data Science Institute
Visiting Senior Fellow. Bridging academic research with industry practice.

Latest Writing

Python MLOps

Monitor Deployed ML Models for Feature Drift with NannyML

Painless post-deployment model monitoring w/o labelled data

Jul 8, 2023 9 min read
Python

Log Sklearn Pipelines with MLflow & Deploy 🚀

Logging sklearn gridsearch CV results to MLflow and deploy the best model to make inferences

Jun 25, 2023 6 min read
R Prediction

Yet Another Caret Workshop

Building predictive modeling pipelines in R

Apr 19, 2018 17 min read
View all posts