Andreas Killaitis

• Support and development of the products of wunderLOOP after being merged with AudienceScience • Design and implementation of the „Prediction“ system, an extension of the wunderLOOP product „Automated Target Discovery“ • Integration of „Prediction“ with the AudienceScience tools and workflows • Implementation of a Hadoop-based system to gather attribute-based user profiles as a data source for „Prediction“ • Implementation of a reporting system and framework based on Hive and Cassandra

• Lead of the development team (4-5 members) • Support and development of the „7d bot“ targeting solution • Design and implementation of „Automated Target Discovery“, a system to discover the relevant attributes of defined target groups and the generation of attribute rule sets to address them • Implementation of interfaces to external suppliers of text classification systems, e.g., Grapeshot, InfoCodex, MindUp, as well as geo targeting data sources • Key Technologies: C++

• Support and further development of the „7d bot“ (see previous employment entry). • Design and implementation of new components for the „7d bot“ • Implementation of customer specific modifications and projects • Key Technologies: C++

• Co-Development of the product „7d bot“, a web-based recommendation engine for behavioural, rule-based, natural language-based and static recommendations • Design and implementation of the persistence layer of „7d bot“ • Key Technologies: C++, Java, Perl, Lex/Yacc

• Dev team lead (3 developers) • In charge of design and implementation of the company’s product „Copperfield“, a software for calculating and visualising electric and magnetic fields of underground cables, overhead cables, transformers and dipole transmitting antennas. • Port of the IBM Open Class Library from OS/2 to Win32 API/Visual C++ • Key Technologies: C++

Technische Informatik, Algorithmen / Datenstrukturen