Raja Sen

AI & Data Architect acting as the bridge between business and IT, translating strategic objectives and ambiguous requirements into concrete architecture designs, platform decisions, and delivery roadmaps. Led structured platform evaluation engagements, defining evaluation frameworks and presenting recommendations to senior stakeholders. Mapped business use cases to platform capabilities to build prioritised rollout plans. Part of a GenAI enablement initiative driving AI tool adoption.

IT Solution Architect & Project Lead within Deloitte's Artificial Intelligence & Data practice. Led end-to-end data and analytics projects for major European clients, defining target data architectures on Azure, Snowflake, Microsoft Fabric, and Databricks. Translated business requirements into solution designs, delivery roadmaps, and backlog items. Ran client workshops and architecture reviews, evaluated technology platforms, led a cross-functional team, and delivered GenAI use cases.

Software Developer & Data Engineer working across AI, Data Science, and Software Development. Built data pipelines and AI-driven applications using Python and Azure ML, and scalable SaaS solutions with Java Spring, Docker, and Git. Worked with Power BI for data modelling and visualisation, and supported projects across Finance, Automotive, and Energy. Founded and led the PwC Machine Learning Community to drive knowledge-sharing firm-wide.

Software Development working student, contributing to new feature implementation, bug fixing, and unit test creation. Built primarily with C# (.NET Framework) and C++.

Worked in the Digital Security department on a cloud-based SaaS IAM (Identity & Access Management) platform. Focus areas: Federation, Single Sign-On, OAuth, and SAML 2.0. Built using Java, Spring, and Hibernate.

Coursework combined software engineering, data systems, and IT fundamentals, with practical, project-based work. Master's thesis focused on Machine Learning / AI — building the technical foundation that led into my subsequent career in data engineering and AI & data architecture.