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Kan være tilgjengelig
(Oppdatert %updatedDate %)Python and Java Developer and DevOps
Stockholm, Sweden
Innfødt Svenska, English
- Java.
- DevOps
- Python
Ferdigheter (17)
Machine Learning
AUDIT
ALGORITHMS
REDIS
PRODUCTION ENVIRONMENT
PIPELINE
Kafka
ANSWERING
Elasticsearch
Hadoop
AUDITING
PERFORMANCE TESTING
TRAINING
APACHE KAFKA
PERFORMANCE TUNING
METADATA
SENTIMENT ANALYSIS
Arbeidserfaring
Apache Nifi
2011-01 - 2011-01
1.8, Elasticsearch 6, Kibana 6, Minio 2018-11
Name: Data driven chat bot
Duration: 3 months
Responsibilities: Design, development and deployment of deep learning question answering
system, a part of AI chat service, making it possible for the chat bot to answer free text
questions.
Tools: Docker 18, Kubernetes 1.13, Kubeflow 0.3, Java 9, Spring Boot 2, Spring 5: Webflux, Gradle, Python 3, Pandas 0.23, Tensorflow 1.11, Pytorch 1.0, Elasticsearch 6
Name: Data Lake and anomaly detector for Information Security
Duration: 4 months
Responsibilities: Design, development and deployment of high performance data pipeline,
100K events per second, processing and ingesting data from Kafka cluster into Hadoop and Elasticsearch clusters. Design and development of machine learning anomaly detection
service, finding users with unusual network traffic patterns. Nifi and Elasticsearch
performance tuning.
Tools: Docker Swarm 1.2, Java 8, Maven, Apache Kafka 2, Apache Nifi 1.6, Apache Hive 2, Apache Hadoop 2, Python 3, Pandas 0.2, Scikit-learn 0.19, Elasticsearch 2.4
Name: Company classification
Duration: 1 month
Responsibilities: Design and development of machine learning binary classifier labeling text
snippets as Fintech related or not. Semi-automatic labeled dataset creation.
Tools: Scala 2.9, Python 3, Pandas 0.2, XGBoost 0.7
Name: Intranet search system
Duration: 4 months
Responsibilities: Design, development and deployment of search and indexing APIs
wrapping Elasticsearch. Sharepoint and Azure data and security integrations. Elasticsearch
document level security development. User actions auditing system development.
Tools: Java 8, Spring 4: MVC, Data, Security and Aspects, Golang 1.7, MS Sharepoint, MS
Azure, Elasticsearch 2.4, Ansible 2
Name: Data pipeline for sentiment analysis
Duration: 3 months
Responsibilities: Design, development and deployment of ingestion framework and API
clients for social data.
Tools: Python 3, SQLAlchemy, Marshmallow, MySQL, AWS, Ansible 2
Name: Data pipeline for search system
Duration: 3 months
Responsibilities: Design, development and deployment of data pipeline for reading data from SQL database, processing and ingesting into Elasticsearch cluster.
Tools: Java 8, Spring 4: MVC and Data, MS SQL Server, Elasticsearch 2.4
Name: Elasticsearch cluster deployments
Responsibilities: Large cluster deployment in production environment. Performance testing, settings optimizations, index design, query optimization and hardware recommendations,
ensuring search KPIs.
Duration: 6 months
Tools: Python 3, Elasticsearch 2.4
Name: Data driven chat bot
Duration: 3 months
Responsibilities: Design, development and deployment of deep learning question answering
system, a part of AI chat service, making it possible for the chat bot to answer free text
questions.
Tools: Docker 18, Kubernetes 1.13, Kubeflow 0.3, Java 9, Spring Boot 2, Spring 5: Webflux, Gradle, Python 3, Pandas 0.23, Tensorflow 1.11, Pytorch 1.0, Elasticsearch 6
Name: Data Lake and anomaly detector for Information Security
Duration: 4 months
Responsibilities: Design, development and deployment of high performance data pipeline,
100K events per second, processing and ingesting data from Kafka cluster into Hadoop and Elasticsearch clusters. Design and development of machine learning anomaly detection
service, finding users with unusual network traffic patterns. Nifi and Elasticsearch
performance tuning.
Tools: Docker Swarm 1.2, Java 8, Maven, Apache Kafka 2, Apache Nifi 1.6, Apache Hive 2, Apache Hadoop 2, Python 3, Pandas 0.2, Scikit-learn 0.19, Elasticsearch 2.4
Name: Company classification
Duration: 1 month
Responsibilities: Design and development of machine learning binary classifier labeling text
snippets as Fintech related or not. Semi-automatic labeled dataset creation.
Tools: Scala 2.9, Python 3, Pandas 0.2, XGBoost 0.7
Name: Intranet search system
Duration: 4 months
Responsibilities: Design, development and deployment of search and indexing APIs
wrapping Elasticsearch. Sharepoint and Azure data and security integrations. Elasticsearch
document level security development. User actions auditing system development.
Tools: Java 8, Spring 4: MVC, Data, Security and Aspects, Golang 1.7, MS Sharepoint, MS
Azure, Elasticsearch 2.4, Ansible 2
Name: Data pipeline for sentiment analysis
Duration: 3 months
Responsibilities: Design, development and deployment of ingestion framework and API
clients for social data.
Tools: Python 3, SQLAlchemy, Marshmallow, MySQL, AWS, Ansible 2
Name: Data pipeline for search system
Duration: 3 months
Responsibilities: Design, development and deployment of data pipeline for reading data from SQL database, processing and ingesting into Elasticsearch cluster.
Tools: Java 8, Spring 4: MVC and Data, MS SQL Server, Elasticsearch 2.4
Name: Elasticsearch cluster deployments
Responsibilities: Large cluster deployment in production environment. Performance testing, settings optimizations, index design, query optimization and hardware recommendations,
ensuring search KPIs.
Duration: 6 months
Tools: Python 3, Elasticsearch 2.4