Rico Keidel

• Building an AI-powered platform for intelligent job matching • Designing CV parsing, semantic search, and recommendation workflows • Developing the application with Python, FastAPI, React, and PostgreSQL • Integrating and automating multiple job-data sources • Implementing RAG, reranking, and LLM-based evaluation • Managing deployment, infrastructure, and CI/CD pipelines • Coordinating product direction and collaborator contributions

• Scaled a global service team to 14 specialists across three continents • Grew the Service Desk into a €1.6M+ annual operation • Reduced the open backlog by more than 50% through process redesign • Owned service-delivery escalations for a Fortune 100 client • Automated Jira workflows, reporting, provisioning, and integrations • Stabilised high-volume operations during rapid company growth • Improved visibility through dashboards, APIs, and reporting pipelines

• Delivered WordPress migrations across the UK, Japan, LATAM, Spain, and the US • Built the Service Desk operation and led its initial delivery team • Expanded a single-market migration into a €500k engagement • Managed complex projects with full client-delivery responsibility • Coordinated engineering, content, QA, support, and vendor teams • Introduced structured gap analyses and launch processes • Became the client’s go-to contact for complex delivery issues

• Supported high-traffic enterprise WordPress websites • Triaged and resolved platform incidents • Diagnosed plugin and integration conflicts • Investigated performance and availability issues • Coordinated complex cases with developers and stakeholders • Documented solutions and recurring issue patterns • Built the CMS foundation for later delivery leadership

• Published first-author peer-reviewed research on microgel collapse dynamics • Conducted time-resolved SAXS experiments and simulations • Modelled thermodynamic equilibria and kinetic transport processes • Reduced measurement cycle time by ~65%, from 30 to 10 seconds • Consolidated multiple systems into one automated workflow • Redesigned experiments to capture earlier dynamics and improve data quality • Received three Teaching Excellence Awards for instruction and mentorship

• Analysed thermal behaviour in a continuous-production reboiler system • Evaluated system performance under changing production loads • Identified fluctuating input conditions as the capacity bottleneck • Modelled day–night temperature effects on plant performance • Assessed heating limitations across varying operating conditions • Quantified cooling constraints affecting production capacity • Selected for BASF’s Talent Pool and Explore Together program

Hands-on training in machine learning, data pipelines, AI systems, and automation workflows with real-world projects and production-style tooling.

- Selected as DAAD ISAP scholarship recipient for international academic exchange

Honors & Distinction: Dean’s List — Top academic performance in first two years Grade 1.9