Marcin Wylot

I designed and implemented algorithms and infrastructures for our clients to detect anomalies in business intelligence metrics. Moreover, my solution performs predefined actions based on detected anomalies. I work with InfluxData and the TICK stack, Python and its machine learning and data science packages, NodeJS, MongoDB, AWS (S3, EC2, security groups, Route 53, API).

I run workshops on Semantic Web and Linked Data.
I was actively involved in preparing grant proposals for which I designed Big Data architectures with linked data and machine learning.

I designed a provenance-aware system for efficient processing static and dynamic graph data (linked data). I also enhanced this system to support hypothetical queries. I worked with Linux, C/C+, and Python for data processing.
I taught three courses:
- Semantic Web and Linked Data (lectures and labs)
- Semantic Web and Linked Data (research seminar)
- NoSQL databases (lectures and labs)
Moreover, I supervised students towards their thesis (MSc and PhD), I was actively involved in acquiring grants for new projects, and I coordinated efforts of scientists working on research projects.
I also co-authored three books on Big Data: “Handbook of Big Data Technologies”, “Linked Data: Storing, Querying, and Reasoning”, and “Encyclopedia of Big Data Technologies”.

In the Web and Media Group (under the supervision of Paul Groth) I worked on data provenance for Semantic Web and Linked Data.

In the eXascale Infolab (led by Professor Philippe Cudré-Mauroux) I designed and developed an efficient, scalable, and provenance-aware distributed database engine for Linked Data. I led a project on evaluating NoSQL databases for Linked Data, where I also designed benchmark scenarios. I worked with Linux, C/C+, AWS, NoSQL DBs, and Python for data processing. I was also involved in teaching activities (MapReduce, Linked Data) and supervising students.

managing test environments (Linux, Oracle, OAS, Tomcat)
support for maintaining production environments (internal and external clients)
event and performance monitoring (Nagios, Cacti/MRTG, RRD)
developing tools for analyzing logs and event detection
support for applications testing and deployment processes
designing and managing virtualized environments (VMware)
designing infrastructures for new environments
managing Linux servers (ZendServer, LAMP, PostgreSQL)

administration of dedicated server systems
caring for security
caring for performance and reliability of applications developed by the team (based on ruby, C/C++, PostgreSQL)
deploying applications developed by team on production environments

preparing data for migration
migrating data from territorial departments to a central database
testing data integrity

designing and developing business applications
designing database
programming
administration of computer systems
recruiting employees for the position of programmers

developing CMS
setting up servers with Linux system for small companies
software legality audits

administration of internal Apache and Samba servers
IT support
administration of subnetwork
designing and developing database applications
administration of Oracle Financials system
support for Payroll and MultiCash systems