A senior machine learning engineer on Big Data platform

More than three years working experience
10K request per second

2.5TB data per Day

• Batch processing: Spark
• Realtime streaming: Storm, Spark, Kinesis and Kafka
• Storage: HBase, Couchbase, Hive, MongoDB and more
• Virtualization: Docker
• Monitoring: Logstash + Splunk

Application: Search, Learning to Rank, Recommendation, Data matching, Entity Linking

Library: Spark ML, scikit-learn, TensorFlow, XGBoost, Ranklib

• 2018/03 - present in Upwork Global Inc. as Senior Machine Learning engineer
• 2015/04 - 2018/02 in mPlatform Germany as Big Data Engineer
• 2010/10 - 2014/06 in Karlsruhe Institute of Technology (KIT) Germany as PhD on data management