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Product @ Ripjar - Screening, Data & AI
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Assessing your cultural and operational fit
I enjoy working at the research end of software engineering - producing exciting, new analytics and systems for the benefit of the end user. I have 12 years of experience in machine learning and building production systems in Python and Node.js, with experience of Java and C/C++. Within this I'm particularly experienced in Natural Language Processing: Entity Extraction, Relationship Extraction, Content Classification, Automatic Knowledge Production, Identity Resolution and Name Matching. Languages: Python, Node.js, C, C++, Java Libraries: numpy, script, scikit-learn, tensorflow, flask, express, lodash Tech: Elasticsearch, MongoDb, Apache Kafka, MySQL, Oracle, Sybase
University of Durham, St John's College
Master of Science (MSc), Theoretical and Mathematical Physics
January 1, 2004 – January 1, 2008
Ripjar
Head of Product - Screening
March 1, 2025 – Present
Ripjar
Head Of Analytics
January 1, 2018 – March 1, 2026
Ripjar
Senior Machine Learning Engineer
April 1, 2014 – December 1, 2018
UK Government
Software Engineering Consultant
December 1, 2012 – March 1, 2014
UK Government
Research Engineer
October 1, 2008 – November 1, 2012
MongoDB for Developers
Mongo DB University
June 24, 2026 – Present
Cryptography 1
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in government and a single company (Ripjar) for a significant duration, primarily in Machine Learning and Analytics roles. While the experience is deep, the diversity of projects outside of NLP/text analytics and government/financial intelligence domains is limited. The target role is 'Backend Engineer', which requires a broader set of backend development skills beyond ML/NLP. The candidate's experience is heavily skewed towards ML/data science leadership rather than general backend system design and implementation, which might present a cultural fit challenge for a pure backend engineering role.
Soft Skills & Operational Fit
The candidate's experience as Head of Analytics and Head of Product indicates strong leadership, team management, and strategic thinking skills. Involvement in hiring, sales processes, and tech talks suggests good communication and collaboration abilities. The focus on research and development, coupled with optimizing algorithms, points to a problem-solving and efficiency-oriented mindset. The long tenure at Ripjar suggests loyalty and adaptability within an organization.