Profileimage by Marcin Wylot Data Scientist | Machine Learning & BigData Consultant | AI Advisor from Munich

Marcin Wylot

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Last update: 06.09.2022

Data Scientist | Machine Learning & BigData Consultant | AI Advisor

Graduation: PhD, University of Fribourg -- Switzerland
Hourly-/Daily rates: show
Languages: German (Elementary) | English (Full Professional) | French (Limited professional) | Polish (Full Professional) | Russian (Elementary)

Attachments

MarcinWylot.pdf

Skills

My mission is to help organizations with optimizing their work and increase incomes with data-driven and artificial intelligence solutions.

I have 20 years of experience in Computer Science both in industry and academia. I am highly oriented on building solutions with the simplest possible set of means for a problem (KISS principle), often with non-standard but efficient and effective approaches. I have worked with a high variety of platforms and solutions involved in the whole data processing pipeline. From gathering, modeling, storing, data, through analyzing, finding insights in the data, up to the building, and deploying in production AI solutions.

Artificial Intelligence, Deep Learning, Data Science, Machine Learning, Reinforcement Learning, Big Data, Timeseries, Semantic Web, Linked Data, Tensorflow, Knowledge Graph, Explainable AI (XAI), Keras, Python, C++, Go, IoT, Distributed Databases, DevOps, AWS, NiFi, PostgreSQL, MongoDB, Neo4j, InfluxData, TimescaleDB, blockchain, Spark/PySpark, flowable, BPMN, CMMN, DMN,

Project history

01/2019 - 02/2020
Data Scientist & Machine Learning Engineer
AIDA Diagnostics

We build a patient blood management system to optimize the usage of blood during the process from donation to
transfusion. I design and implement machine learning algorithms and expert systems to analyze medical data.
I work with Python and its machine learning and data science packages (NumPy, pandas, sklearn, Keras,
Tensorflow, XGBoost, notebooks), decision rules (durable_rules), docker, and docker-compose.

12/2017 - 07/2018
Data Scientist & Machine Learning Engineer
PushMetrics

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 (NumPy, pandas,
sklearn, XGBoost , Keras, Tensorflow), NodeJS, MongoDB, AWS (S3, EC2, security groups, Route 53, API).

09/2015 - 04/2018
Postdoctoral Researcher
TU Berlin

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 Ph.D.), I was actively involved in acquiring grants
for new projects, and I coordinated the 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".

11/2015 - 12/2017
Senior Researcher
Fraunhofer FOKUS

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.

03/2011 - 08/2015
Researcher
University of Fribourg

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.

06/2013 - 08/2013
Visiting Researcher
Vrije Universiteit Amsterdam

In the Web and Media Group I worked on data provenance for Semantic Web and Linked Data.

12/2007 - 01/2011
Information Technology Specialist
Asseco Poland

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

01/2006 - 06/2007
System Administrator
Warsaw School of Information Technology

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 the team on production environments

09/2005 - 11/2005
Database Specialist
Prokom Software

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

09/2004 - 05/2005
System Administrator and Software Engineer
MasterFilm LTD.

designing and developing business applications
designing databases
administration of computer systems

12/2003 - 08/2004
IT Consultant

developing CMSs
setting up servers with Linux system for small companies

07/2002 - 11/2003
System Administrator
TP Internet

administration of internal Apache, MySQL, Samba servers'
designing and developing database applications
administration of Oracle Financials System

Local Availability

Open to travel worldwide
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