Senior Software Engineer
Simplaex GmbH
(Internet und Informationstechnologie, 10-50 Mitarbeiter)
Schlagwörter
Skills
- 7+ years of professional expertise in Information Technologies (IT) industry
- Solid engineering, coding and problem-solving skills. Ability to write high-performance production quality code
- Experience working with Java, Spring Boot, AWS, Hibernate, Jenkins, Kafka, ELK, Hadoop, Spark, MySQL, Postgres, Oracle, PL/SQL, SQL, Kubernetes, Airflow
- Experience working with service-oriented architectures and REST-based API design
- Experience in architecting highly scalable, distributed systems
- Experience in building end-to-end large-scale machine learning systems
- Experience in launching a startup from scratch
Projekthistorie
08/2019
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11/2019
Implementing infrastructure for processing big data in the advertisement field
Tasks: Build infrastructure to process every day over 80TB with Spark and Kafka
Implemented:
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Created Kubernetes configuration files to migrate from AWS ECS to EKS
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Significantly improved performance of a spring application consuming data from clients
Tech stack: AWS, Amazon Elastic Kubernetes Service, Spark, Kafka, ELK, Airflow
04/2015
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07/2019
Software Engineer
Visual Meta GmbH
(Internet und Informationstechnologie, 50-250 Mitarbeiter)
Implementing a product feed management tool – Feed Rocket
Feed Rocket imports product feeds from online shops to be easily optimized, customized and updated for different marketing channels
Implemented: Developed architecture and implemented backend functionality from scratch to production in AWS for the company internal startup project. See the product: https://feedrocket.io
Tech stack: Java, Hadoop, HBase, Mysql, Spring Boot, Hibernate, Git, ElasticSearch, AWS services, Docker, Jenkins
Implementing a machine-learning-based eCommerce product classification system
The system resides in the Hadoop cluster. Every day 80 million eCommerce products categorized automatically with ML algorithms
Implemented:
- Refactored core parts of the platform
- Redesigned the platform to make it more scalable and stable
- The speed of categorization improved from 2-3 days to 0-1 days
- Created a variety of tools to optimize the workflow of creating training data for ML models
- Developed KPIs to track the performance of categorisation
Tech stack: Java, Hadoop, HBase, Mysql, Caffe (deep learning library), LibSVM, LibLinear, Git
11/2014
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03/2015
Research assistant
Machine Discovery and Social Network Mining Lab. (Prof. Shou-De Lin) - National Taiwan University
Tasks: Research on active learning algorithms
Tech stack: Matlab
Tech stack: Matlab
12/2011
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04/2012
Java Software Developer
DataArt Solutions Inc. (dataart.com)
(Internet und Informationstechnologie, 250-500 Mitarbeiter)
Tasks: Web application development
Tech stack: Java, JavaScript, CSS, HTML, Oracle
Tech stack: Java, JavaScript, CSS, HTML, Oracle
06/2009
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12/2011
Oracle Software developer
VORONEZHSTALMOST GmbH
(Industrie und Maschinenbau, 1000-5000 Mitarbeiter)
Tasks: Implementing required functionality on the corporate platform (ERP system)
Developing data management tools and processes connected with the manufacture (stock management, workflow management, manufacturing processes management, financial transactions management). I was responsible / have performed the following tasks:
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Development of reports using Crystal, Excel, Word
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Development of complex SQL queries (i.e. using various joins and subqueries), stored procedures and pipeline functions
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Using complex expressions to calculate, group, filter, parametrize and format the contents of reports
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Implementing business logic using PL/SQL and Java
Tech stack: Oracle DB, SQL, PL/SQL, Java
Reisebereitschaft
Weltweit verfügbar
