Key Qualifications and Skills
- 15 years of experience in software industry.
- International team management
- Excellent technical knowledge.
Experience
Amadeus
Senior Manager, Data & Analytics (AI & ML)
2020 - present
- Responsibilities
- Improve Amadeus “search and shopping” products using ML and data science to build and monitor data models
- Empower Amadeus customers with actionable insights using market data, in a petabyte scale infrastructure
- Management of several teams with various skills: data science, machine learning, data engineering, applied research, agile methods.
- Management of 3 million euros budget.
- Expertise
- International people management, budget management
- Data & analytics, data processing, cloud computing
- Tech environment
- Spark, AWS, Cloudera, Python, Angular, React, Kafka, Tableau, Qlik, Elastic Search, Impala.
Amadeus
Head of Business Incubator Engineering
2017 - 2019
- Responsibilities
- Founding member of the Amadeus Business Incubator incubating Ambient Services, Sherpa, Amadeus Video Solutions, Hardware Acceleration with FPGAs.
- Management of several teams around the world (France, UK, India)
- Involved in all aspects of innovation projects: business exploration, business strategy, solution architecture, development (Angular, Java, Spring Boot, Kubernetes, AWS, MongoDb, CI/CD etc.)
- Technology and business strategy: Corporate Innovation theme leader (Messaging Platforms), Technology Master Plan theme leader (Emerging Paradigms)
- Technology exploration: hardware acceleration using FPGAs (pioneering R&D, collaboration with academics and data science teams, business and technology strategy, conference speaker) – cognitive applications, omnichannel.
- Expertise
- Business & technology strategy
- International people management
- Extreme programming
Amadeus
Manager, Applied Research
2013 - present
- Responsibilities
- Management of team in charge of innovation, prototyping activities, design of web and mobile applications, user experience, user interface design.
- B2C products (amadeus.net, visiteurope.com) and B2B products (Travel Audience Meta Connect)
- Collaboration with marketing, product management team and design agencies.
- Full stack development: operations, backend & frontend development, data processing, qualification, design, user experience, web analytics, SEO, support, etc.
- Creation of a platform dedicated to rapid prototyping, based on Docker
- Expertise:
- Prototyping
- People management
- Innovation management
- Web development, Cloud computing
Amadeus
Research Engineer, Applied Research
2009 - 2012
- Responsibilities
- Operational research, technology watch, expertise in the field of travel search.
- Prototyped from scratch and promoted the first multimodal search engine of Amadeus.
- “Best Innovation of year 2011” award during AGIFORS 51st annual symposium.
- Expertise:
- prototyping, innovation
Amadeus
Technological research and development
2008 - 2009
- Responsibilities
- Department leader for R&D projects: Meta Pricer, Ticketless Access
- Participated in product definition; interacted with customer, marketing teams and product definition teams.
- Achieved 20% CPU savings on critical products, by rethinking the computation of entire modules.
- Expertise:
- software development, optimization
Amadeus
Technological research and development
2005 - 2007
- Department leader for R&D projects: Meta Pricer, TLA
- Took part in product definition, led product development.
- Interaction with customer, marketing teams and product definition teams.
- Technologies: Unix, C++, CVS
Diva Network Generation
Software Development Consultant
2002 - 2005
- Key Project: Budget Engine, Amadeus
- Prototyping and operational readiness of a new shopping engine, “Affinity Shopper”, acting as an incubator.
- Created innovative algorithms and paradigms which ultimately shaped commercial Low Fare Search engines: the “front” algorithm, heaps, “dynamic flights” architecture, efficient data storage structures.
- Technologies: Unix, C++, CVS
Patents and publications
- Method for handling large amounts of standard data
- USPTO 20080114796
- Describes how fares and rules records data can be preprocessed in order to allow multi-date pricing.
- Search engine and associated method
- USPTO 20110167051
- Describes how a set of segments with prices can be transformed into pseudo fare records, in order to integrate those segments into a traditional fare search engine.
- “Best Innovation of year 2011”
- AGIFORS 51st annual symposium
- Lowering the Latency of Data Processing Pipelines Through FPGA based Hardware Acceleration
- Owaida, Alonso, Fogliarini, Hock-Koon, Mélet
- VLDB 2020
Education
- Supélec (École Supérieure d'Electricité)
- State Engineering degree (Master’s degree).
- Major in Computer Science & Knowledge Engineering