06.09.2022 aktualisiert

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Java Software Engineer

Berlin, Deutschland
Weltweit
M.S. Computer Science at Technical Munich University, 11.2014
Berlin, Deutschland
Weltweit
M.S. Computer Science at Technical Munich University, 11.2014

Profilanlagen

CV

Skills

JavaSQLawsHibernatejenkinskafkaELK StackHadoopSparkMySQLpostgreskubernetesAirflowDatenbank EntwicklungStartup
  • 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

Sprachen

EnglischverhandlungssicherRussischMuttersprache

Projekthistorie

Senior Software Engineer

Simplaex GmbH

Internet und Informationstechnologie

10-50 Mitarbeiter

Implementing infrastructure for processing big data in the advertisement field

Tasks: Build infrastructure to process every day over 80TB with Spark and Kafka

Implemented:

  • Created Kubernetes configuration files to migrate from AWS ECS to EKS

  • Significantly improved performance of a spring application consuming data from clients

Tech stack: AWS, Amazon Elastic Kubernetes Service, Spark, Kafka, ELK, Airflow

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

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

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