Anthony Kim

Anthony Kim is a mission-driven and results-oriented Lead Machine Learning and Big Data Engineer with 10+ years of experience in data science/engineering and software development. He has a strong passion for transforming data into valuable insights.

With 3.5 years of teaching experience in core computer science courses at Penn State University and 6 years of academic research in Applied Machine Learning, Anthony is well-versed in both practical applications and theoretical frameworks.

Specializing in building End-to-End Machine Learning / Deep Learning Pipelines, Petabyte-scale Big Data ETL and Analytics, and Human Behavioral Pattern Analysis, Anthony brings a unique skill set to the table.

Anthony's technical expertise includes Python, Scala, Java, C/C++, Spark, Hive, Hadoop, TensorFlow, Keras, AWS, GCP, Kubernetes, Docker, SQL, NoSQL, and more. He is proficient in a wide range of tools and technologies for data processing, machine learning, and software engineering.

Noteworthy is Anthony's experience with ML algorithms such as SVM, Logistic Regression, Decision Tree, NLP tools like Stanford CoreNLP, Elasticsearch, Kafka, Tableau, and Bash shell scripting. His contributions to A/B testing experiments, Anomaly detection, and Recommender Systems further showcase his diverse skill set.

In his professional journey, Anthony has held roles like Staff Data Scientist at McD Tech Lab, Staff Engineer at Samsung Electronics, Research Intern at IBM Almaden Research Center, and teaching positions at Penn State University. His educational background includes pursuing a Ph.D. and Master's in Artificial Intelligence at Penn State University, along with a Bachelor's in Computer Science from Yonsei University.

With a vast array of experiences in academia, research, and industry, Anthony Kim stands out as a versatile professional with a keen interest in utilizing data for business growth and innovation.