I went from data analysis engineer to machine learning engineer to data scientist to MLops. The project covers Business Analysis, NLP, Machine Learning, Recommendation System, Image Recognition, Voiceprint Recognition, etc. The tools used include Python, GCP, Docker, Kubeflow, Spark, Sklearn, Gensim, Tensorflow, Opencv, Librosa, Pytorch, Golang, Flask, Java, Vue, JS, CSS, Highcharts, Echart, Sql, PostgreSQL, MongoDB, Neo4j, TigerGraph, Gephi etc. Finally, I have "forgotten" this knowledge. I just want to know if what I do now can help the world solve problems and how big problems I can solve.