I am a passionate machine learning and data applications developer, +5 years of Python-based experience building intelligent algorithms, data pipelines, and infrastructure-as-code solutions. I design and deploy production-grade ML systems, and I enjoy turning complex data into practical, scalable applications. I work well independently, in teams, or as a small team lead, delivering robust results across back-end data services, ML models, and BI tools.

Peter Marinov

I am a passionate machine learning and data applications developer, +5 years of Python-based experience building intelligent algorithms, data pipelines, and infrastructure-as-code solutions. I design and deploy production-grade ML systems, and I enjoy turning complex data into practical, scalable applications. I work well independently, in teams, or as a small team lead, delivering robust results across back-end data services, ML models, and BI tools.

Available to hire

I am a passionate machine learning and data applications developer, +5 years of Python-based experience building intelligent algorithms, data pipelines, and infrastructure-as-code solutions. I design and deploy production-grade ML systems, and I enjoy turning complex data into practical, scalable applications.

I work well independently, in teams, or as a small team lead, delivering robust results across back-end data services, ML models, and BI tools.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior Machine Learning Engineer at Zimmer Biomet
January 1, 2025 - November 15, 2025
Co-designed and co-implemented an Azure-based complaints handling application to automate back-office tasks, achieving recall of over 80% on most tasks. Built rigorous data models with Pydantic, integrated with a SQL database for historical retrieval, and established an automated release pipeline with unit, integration, and validation tests. Implemented Docker-based containerization and production monitoring via Application Insights; authored infrastructure as code using Pulumi.
Senior Data Scientist at Aviva
January 1, 2025 - January 1, 2025
Optimised entity extraction from PDFs through data cleaning, preprocessing, embeddings model fine-tuning and model selection, boosting recall/precision and processing speed. Prototyped a vision-based text extraction tool using Llama3.2 vision with Ollama hosting and evaluated embedding models such as ColBERT and SPLADE. Improved an email classifier with RoBERTa, increasing F1-score by 40% and routing emails to relevant departments.
Lead Data Scientist at Measmerize
January 1, 2023 - January 1, 2023
Led R&D for Measmerize, developing a bespoke digital garment fitting service. Designed features from questionnaire answers and a dataset of measurements; iterated for model selection and optimized for business metrics. Conducted online A/B testing for model selection. Achieved sub-400ms response times with model hosting on AWS Lambda and AWS API Gateway; model monitoring via AWS CloudWatch. Supervised a Data Analyst.

Education

Master of Computer Science at University of Oxford
January 11, 2030 - January 1, 2020
Master of Science (Integrated) Physics at Imperial College London
January 11, 2030 - January 1, 2016

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Life Sciences, Software & Internet, Professional Services