Professional Overview
I’ve worked as a machine learning engineer for five years, and I am now finishing my master’s thesis in statistics. I’ve worked with marketing, product, and design, and I believe in delivering code a human can understand and a report that enables stakeholders to build actionable insights — with or without a statistics degree.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Full owership of ML projects: proposals, research, devolopment, and deployment
- Wide range of projects from predicting industrial printer jams to search engines
Key Achievements / KPIs
- Wrote a SAE Recommender system which outperformed AWS Personalize by 43%
- Adjusted A/B testing harness to utilize latest statistical research
- Bayesian MABs for product recommendations API served recommendations in ~41ms.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Full owership of ML projects: proposals, research, devolopment, and deployment
- Wide range of projects from predicting industrial printer jams to search engines
Key Achievements / KPIs
- Wrote a SAE Recommender system which outperformed AWS Personalize by 43%
- Adjusted A/B testing harness to utilize latest statistical research
- Bayesian MABs for product recommendations API served recommendations in ~41ms.
Education
Field of Study: Computer Science (minor in Statistics)
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
