Scientific computing and data visualization, including Tensorflow, PyTorch, numpy, scipy and matplotlib. Experience with RESTful API development using Flask and FastAPI.
Familiar with OpenCV basic data structures such as Mat in addition to basic and advanced image processing API.
Building external library for python with pybind11
Proficiency in Spark SQL for building efficient data processing pipeline. Experience in both integrating Python ML libraries with PySpark such as distributed hyperparameters search.
Working knowledge on GCP DataProc and BigQuery for building/tuning Spark Cluster and building large scale data warehouse with BigQuery
Proficiency in building streaming processing pipelines with Apache Kafka.
Graduated in the top 5% of the class