Professional Account only.
This is a quick summary of my expertises (ie actual experience in production level projects).
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Big Data Systems
- Large Scale Key-Value Store ( Cassandra, ScyllaDB, Aerospike, CouchBase).
- Hadoop stack : HDFS, Hive, Spark, Hbase
- Kubernetes : Kubectl, Dockers...
- Batching : Airflow, AWX (Red Hat), Mesos
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Big Data Machine Learning.
- Click data (advertisement), Image data, Japanese NLP data, ....
- Ad Recommendation/Search system
- Pytorch, Tensorflow (Keras)
- Deep Learning compilers
- Vector/Embedding Databases
- Information Retrieval.
- Time Series prediction
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Machine Learning research.
- Recommendation System/Information retrieval (Top-K ), Bandit
- Reinforcement Learning
- Various internal Presentation on Deep Learning/Machine Learning.
- Talk on the state of ML (IAQF, New York, Fordham University 2019).