# Philip Botros > Machine Learning @ Captur Location: New York, New York, United States Profile: https://flows.cv/philipbotros ## Work Experience ### Staff Machine Learning Engineer @ Captur Jan 2024 – Present | London Area, United Kingdom Designing and deploying ML models for mobile phones at scale (1M+ devices). Optimising inference performance and accelerator usage to deliver high performance on a large variety of chips. ### Machine Learning Engineer @ Various Companies Jan 2023 – Jan 2024 | London, England, United Kingdom Worked on various LLM based projects: LLM powered recruiter - Optimised query speed by redesigning schema and query logic of Elasticsearch database and improved the ranking quality by making various changes to the embedding and retrieval logic. Conversational LLM - Created a web application and a Slack bot allowing users to interact with a company specific LLM. This model had access to company resources using retrieval augmented generation techniques. ETL pipeline - Created a large scale distributed ETL pipeline capable of transforming, embedding and indexing 2 trillion data points in less than 48 hours. ### Founder-in-Residence @ Entrepreneur First Jan 2023 – Jan 2023 | Londen, Engeland, Verenigd Koninkrijk Worked on the conceptualisation, design and build of Futon, an in-person social platform. Built the first version of the app in React Native and released this for both iOS and Android. ### Senior Machine Learning Scientist @ Onfido Jan 2019 – Jan 2023 | Londen, Verenigd Koninkrijk Responsible for developing and applying machine learning algorithms in the core product to identify forgeries, verify user liveness, and match facial biometrics to securely verify the user’s identity. My work was focused on out-of-distribution detection, unsupervised modelling and using Large Language Models to understand documents. This work led to 3 patents and core parts of the technology being used to verify over 300.000 people a day. ### Co-Founder / Machine Learning R&D @ Millennials.ai Jan 2017 – Jan 2019 | Amsterdam en omgeving, Nederland Co-founded a company focused on the integration of Machine Learning in existing business processes. Clients included the Dutch government, a multinational bank and various startups in the health and consumer space. I led the company's research and development of algorithms and oversaw the transition of prototypes to production models in close collaboration with the developers. ### Research student (AMLab) @ Universiteit van Amsterdam Jan 2018 – Jan 2018 | Amsterdam en omgeving, Nederland Thesis on Fairness in Deep Latent Variable Models. This work has led to the following publication: -ICML 2018 Theoretical Foundations and Applications of Deep Generative Models Workshop ### Research assistant (ILPS) @ Universiteit van Amsterdam Jan 2017 – Jan 2018 | Amsterdam Working on Deep Generative Modelling for Natural Language Processing: - General research - Implementation of algorithms resulting from research in PyTorch/TensorFlow. ## Education ### Master of Science (MSc) in Artificial Intelligence University of Amsterdam Jan 2016 – Jan 2018 ### Bachelor of Science (BSc) in Economics University of Amsterdam Jan 2012 – Jan 2015 ## Contact & Social - LinkedIn: https://linkedin.com/in/philip-botros-a23257a5 - Website: https://philipbotros.github.io --- Source: https://flows.cv/philipbotros JSON Resume: https://flows.cv/philipbotros/resume.json Last updated: 2026-03-22