Slava Sazonau
ML EngineerML @ Booking.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML @ Booking.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Accomplished AI/ML expert with 8+ years of commercial experience across healthcare, finance, security, and travel. Proven ability to lead and deploy production-ready ML solutions with proficiency in full ML model lifecycle, MLOps, and Big Data frameworks. Experienced in both real-time and batch ML with operational excellence at scale. Strong cross-functional leadership, stakeholder management, and mentorship.
The University of Manchester
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2013 – January 1, 2016
The University of Manchester
Master’s Degree, Computer Science
January 1, 2012 – January 1, 2013
Belarusian State University
Bachelor’s Degree, Information Technology
January 1, 2005 – January 1, 2010
Booking.com
Machine Learning Scientist
April 1, 2023 – Present
Amsterdam, North Holland, Netherlands · Hybrid
ING
Data Scientist
February 1, 2020 – April 1, 2023
The Randstad, Netherlands
Elsevier
NLP Data Scientist
June 1, 2018 – February 1, 2020
The Randstad, Netherlands
The University of Manchester
Postdoctoral Researcher in Artificial Intelligence
December 1, 2016 – May 1, 2018
Manchester Area, United Kingdom
The University of Manchester
Research & Teaching Assistant
September 1, 2013 – December 1, 2016
Manchester Area, United Kingdom
LeverX
SAP Consultant & Data Analyst
December 1, 2010 – August 1, 2012
Minsk, Belarus
Synesis
Computer Vision Software Engineer
May 1, 2010 – December 1, 2010
Belarus, Minsk
IBA Group
Software Engineer
October 1, 2008 – May 1, 2010
Belarus, Minsk
Argus
January 1, 2021 – Present
Real time fraud detection on transaction data
Background Screener
July 1, 2020 – January 1, 2021
Customer screening using NLP and Machine Learning: - Optical character recognition - Web crawling - Information extraction - Document classification
NLING
February 1, 2020 – Present
Information retrieval, search, and question answering for financial documents: - Optical character recognition - ElasticSearch - Deep Learning / Transformers
Entellect
June 1, 2018 – Present
"Entellect" is a platform supporting researchers in Life Sciences with ready-to-use data and analytics toolkit for fast experimentation and information retrieval. My responsibilities on the project are as follows. * Development of content enrichment and information extraction capabilities based on large volumes of unstructured data (text documents) * Application and implementation of state-of-the-art methods and techniques from Machine Learning, Deep Learning, and Natural Language Processing * Text processing, normalization, and cleaning; document classification, named entity recognition and linking, relationship extraction, word embedding, document embedding * Monitoring and deployment of complex models in production * Demoing progress and results to senior stakeholders * Supervision of junior team members and interns * Publishing and presenting results at conferences and workshops
BTS
December 1, 2016 – February 1, 2018
"BTS" is a suite of NLP algorithms for detection, recognition, structuring, and querying biomedical terms. My responsibilities on the project were as follows. * Application and development of Machine Learning and Natural Language Processing algorithms for extracting clinical knowledge from unstructured text * Text processing, normalization, and cleaning, named entity recognition, word embedding, clustering, similarity * Research and development of knowledge-aware concept similarity metrics for biomedical domain * Data wrangling, analysis, visualisation * Design and implementation of knowledge-based medical information systems using Semantic Web technologies (OWL, RDF) * Project leadership and supervision of two PhD students * Doing research, publishing results, presenting findings at conferences and workshops
Future Retail Center
December 1, 2010 – August 1, 2012
"Future Retail Center" is an ERP system for retail applications with data analytics capabilities. My responsibilities on the project were as follows. * Analysis, processing, and visualisation of retail data * Development of algorithms for market basket analysis, item ranking and filtering, recommendations, customer segmentation * Configuration of an SAP ERP system for retail including customer relationship management (CRM)
Smart Camera
May 1, 2010 – December 1, 2010
"Smart Camera" is a suite of computer vision algorithms for security applications. I was involved in development of computer vision and machine learning algorithms for: * Moving object detection, tracking, and recognition * Video-based detection of unattended items in public areas * Automated calibration of cameras from video streams
e-University
October 1, 2008 – May 1, 2010
"e-University" is an online learning platform. I was involved in development and support of different functions of the platform such as coursework, assessment, notifications, forum.
Dutch A2 Level
Dienst Uitvoering Onderwijs (DUO)
June 24, 2026 – Present
International English Language Testing System (IELTS)
British Council
June 24, 2026 – Present
Sun Certified Programmer for the Java™ 2 Platform, SE 5.0
Sun Microsystems
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit through diverse project experience across various industries (Life Sciences, Finance, Retail, Security, Education) and companies (Booking.com, ING, Elsevier, University research). Their involvement in publishing research, presenting at conferences, and mentoring indicates a collaborative and knowledge-sharing mindset. The breadth of skills, from core ML/NLP to MLOps and Generative AI, shows adaptability and a continuous learning approach.
Soft Skills & Operational Fit
The candidate's experience includes stakeholder communication, project leadership, mentoring junior team members, and presenting at conferences, indicating strong soft skills and operational fit for a senior role. Their involvement in recruitment and interviewing also suggests a contribution to team building and evaluation processes.