Dr. Luís Moreira-Matias

Dynamic Executive Leader with comprehensive experience, a strong educational background, and extensive experience on data strategy and governance (policy, quality, acquisition, architecture), machine learning (ML) and the technologies to embed ML in real-world products (MLOps). Industries include E-Commerce for Finance (6 yrs. XP) and Retail, Transportation/Logistics (9 yrs. XP) and Energy. Previous job roles included all-round-data team(s)/dept. leading (30+ FTEs, from junior/Bs.C. to experienced/Ph.D. scientists and ML engineers) and pre-sales/consultancy activities on EMEA, APAC and LATAM. Known aptitude for consensus-building, tech2biz communicaton, stakeholder alignment and getting exec-level buy-in into large scale, end-to-end organizational changes;Six Career Highlights: · Led ML and Product Data Science on 4 different companies (50+ FTEs), hiring 25+ and factually grooming 10 of them (to achieve promotions and/or awards);· Recreated AI dept. from scratch on 2 companies to 7 and 16 FTEs, respectively, with a full remote AGILE-first setup by restructuring WoW, talent sourcing, hiring process, IDPs and targeted onboarding; · Drove the refactoring of the data & ML platforms in 3 organizations, leading to ~ -10% OPEX in two and a potential +3M raw margin in another, respectively;· Theorized and Co-Developed AI frameworks for Real-Time Intelligent Routing (Transportation) and Affordability Prediction (Fintech) able to increase revenues up to 10% and 30%, respectively;· Possesses a world-class academic track with high impact publications & service at top tier venues in ML/AI fundamentals (e.g.: KDD, AAAI, IEEE TKDE, ECML/PKDD) and multiple invitations to be keynote speaker worldwide - ranging from Brisbane (Australia) to Las Palmas (Spain);· Won multiple Awards, including a Test-of-Time Award for Best Paper in the top Data Mining journal for transport applications;Key Technical Expertise:- Data and ML (Engineering) recognized worldwide (50+ publications, 15+ Keynotes, 4 granted patents);- ML Product Design and Data Architectures (Data Warehousing/OLAP and ML services/OLTP);- MLOps: Feature Stores, DataOps/Messaging Services, Experimental Workflow Management, Model Repository/Deployment/Live&Offline Testing/Serving/Monitoring;- Main Technologies (Python, R, C/C++, Postgres, AWS Redshift, MongoDB, Redis, AWS, Jenkins, RESTful APIs, Docker, Kafka);- Large experience on working in high paced, multi-cultural environments with continuous/AGILE software delivery paradigms (e.g.: SCRUM) and VUCA-strategy frameworks (e.g.: OKRs);