Marek Wawrynowicz

Azure Data Factory pipeline (S3 Connected Health). Spring boot application enabling data visualisation - backend (S3 Connected Health). Spring boot application processing binary data (S3 Connected Health). Software of the system controlling of therapeutic gas delivery, development and maintenance (S3 Connected Health).

A system for management of some stages of proteins biomanufacturing. Event-driven distributed application composed of several microservices (Roche). Microservices replacing some parts of the legacy systems supporting biofarmaceuticals research and production, monitoring and fault tolerance (Roche). Systems supporting biofarmaceuticals research and production (Roche). Files operations tools providing processing of the files stored in Google Drive (Roche)

Development and maintenance of the online clothing shop (Joules). Development of the application for management of the National Registration System. Development and maintenance of some systems for international transportation company. Implementation of new features, fixing bugs (TNT).

Development (scrum) and maintenance one of the biggest real estate portals in Germany. Implementation of the new features, architectural migrations, fixing bugs (ImmobilienScout24).

Design and programming complex forms in the data collecting system for management of the gas mains devices, development and maintenance of the system (Wasko S.A.). Development of the devices monitoring system (Wasko S.A.). Development and maintenance of the web application for temporary work agencies, enabling to advanced recruitment management.

Carrying out chemical analyses (TLC, HPTLC, HPLC, UV-VIS, IR, titrimetry, gravimetry). Working out and adaptation of analytical methods with their validation. Working out and adaptation of production technologies. Conducting of technological trials. Preparing documentation concerning drugs (specifications, instructions, translations and others). Cooperation with manufacturing, quality, sales and other departments. Working relations with domestic and foreign firms.

Big data, processing, storage and machine learning: - Hadoop, Spark, Hive, AWS (S3, EC2, Athena, Glue); - MongoDB, Cassandra; - Python, NumPy, scikit-learn, Keras; Postgraduate study: Prediction of Tox21 dataset substances toxicity based on descriptors values using machine learning

Subjects: statistics, R programming, data visualisation, artificial intelligence methods, machine learning, data mining, text mining, big data and others. Tools: RStudio, Tableau, SAS Enterprise Miner, Hadoop, Spark, Hive and others.

physical chemistry