Case Studies
11 client engagements across DACH and Europe — from AI Factory operating models to predictive maintenance algorithms. Real impact, measurable outcomes.
Delivery lead and SME for an end-to-end AI Factory: operating model design, GenAI platform on Azure/AWS, and a repeatable use-case delivery engine.
Program manager and technical lead for the design and rollout of a full MLOps platform — CI/CD automation, model registry, and CoE operating model.
Senior Product Owner for AI-powered campaign automation — automated A/B testing rollout, ML-driven targeting, and conversion optimisation across digital channels.
Tech lead for an AI-driven racquet recommendation system — customer segmentation, behavioural targeting, and A/B testing to personalise the purchase journey.
Senior data scientist delivering NLP-based ML solutions for email and voice classification, case routing, and automated resolution across multiple European geographies.
Workstream lead for technology due diligence, CI/CD pipeline setup, and ways-of-working design — enabling efficient development and deployment of AI use cases.
Tech lead for a system that identifies test cases and generates anonymised synthetic test data — enabling fully automated end-to-end testing pipelines.
Tech lead for design and implementation of a centralised enterprise data platform — enabling downstream analytics and establishing bottom-up data governance and lineage.
Tech lead for designing a custom data lake for a union of electro-wholesalers — with data lineage tracking and end-to-end governance to enable downstream analytics applications.
Project lead for a real-time recommendation engine for e-commerce and sales tool integration — generating personalised recommendations from products, transactions, and user data in under 3 seconds.
Senior data scientist delivering a custom predictive maintenance algorithm for internationally connected sewing machines — using ARIMA, Temporal Hierarchical Forecasting, and Trend Analysis.
Open Source
An open-source Node.JS package implementing an apriori-like algorithm in C++ (N-API) to mine associations in itemsets — enabling low-latency, Python-compatible recommender systems for production use.
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