Location
PolandRate
Years of experience
7+About
Motivated Professional Developer and Machine Learning Expert, trained in Java and Python. Highly effective at Big Data processing Exceptional interpersonal, communication and multitasking abilities.Throughout my career, I have worked on various projects involving the implementation of advanced technologies such as Apache Spark, Apache Flink, and TensorFlow to address complex challenges in fraud prevention, financial analysis, and real-time data processing.Tech Stack
Spark, AWS, Big Data, Docker, Git, Java, Jenkins, Kubernetes, Python, TensorflowExperience
- Developed machine learning algorithms for online fraud prevention within enterprise-grade software, operating in a cloud environment.
- Designed Data Lakes and Big Data pipelines, leveraging technologies such as Python 3, Docker, AWS, Java 11, Kubernetes, and Apache Spark.
- Designed and developed full-stack software solutions in Python, and visualized data using custom-made software and tools like Microsoft PowerBI.
- Developed streaming applications using Apache Flink and deployed them via Mesos, DCOS, and Kubernetes.
- Built real-time systems for behavioral analysis and integrated Machine Learning algorithms with existing stream processing systems.
- Utilized technologies such as Apache Kafka, Apache Hadoop, Apache Mesos, H2O.ai, Kubernetes, and Apache Nifi for development and deployment.
Employment history
-Developing machine learning algorithms in online fraud prevention.
-Developing enterprise grade software.
-Working in cloud environment.
-Designing Data Lakes and Big Data pipelines.
Technologies: Python 3, Docker, AWS, Java 11, Kubernetes, Apache Spark
-Working with Big Data, in particular financial, using Apache Spark and Apache Hadoop.
-Performing advanced analysis with multiple types of data (text, images, etc.).
-Working on a daily basis with Apache Hive and Apache Hue.
-Designing and developing of Python based full-stack software.
-Visualization, both using custom-made software and using tools such as Microsoft PowerBI.
-Decomposing needs expressed by business owners to requirements and software design.
-Enforcing clean code rules along colleagues
Technologies: Python 3, Apache Spark, Apache Hadoop, Tensorflow, PowerBI, Apache Hive, Apache Hue
-Developing streaming applications using Apache Flink.
-Deploying streaming jobs via Mesos / DCOS / Kubernetes.
-Developing real time system for behavioural analysis.
-Integrating Machine Learning algorithms with existing stream processing system.
Technologies: Apache Flink, Apache Kafka, Apache Hadoop, Apache Mesos, DC/OS, H2O.ai, Google Protocol Buffers, Kubernetes, Apache Nifi
-Supervision over a group of programmers and testers (8 people in total).
-Implementation of Agile methodologies; team coaching.
-Constant contact with Project Owner.
-Design, implementation and deployment of applications for image analysis for the recognition of license plates.
-Parameter tuning for poor lighting conditions, noise in data and uncertain knowledge.
-Creation and implementation of algorithms to improve the quality of solutions thanks to grouping algorithms and the data mining.
-Creating a website for streaming text analysis from LPR cameras (License Plate Recognition), integration with existing systems.
-Real time data analysis, developing streaming algorithms.
-Technologies: Java 8, Python 3, Spring Boot, Akka, AWS, Ansible, Jenkins, Maven, Atlassian, OpenCV, TensorFlow, Git, Bitbucket, Couchbase NoSQL, JSON, XML.
Scientific specialization:
-Machine learning, grouping algorithms, incomplete and uncertain knowledge.
-Data analysis.
-Java programming, system design.
-Automatic and manual testing of systems.
-Research and development of software for analysis of high-volume aviation data.
-Batch and streaming data processing.
-Creating and designing error compensation algorithms.
-Data visualization.
Education history
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