Ph.D. in Physics | M.Sc. in CS | Software Engineer and Data Scientist Work Experience
Email: lcxustc AT gmail.com
I hold a Ph.D. in Physics and an M.Sc. in Computer Science.
During my Ph.D., I specialized in computational seismology, where I focused on high-performance computing for seismic-wave simulations and the theoretical study of seismic-wave propagation.
After completing my Ph.D., I transitioned to a career in Data Science and Machine Learning, driven by a fascination with the field. However, my experience in data science led me to discover a deeper passion for engineering.
I have now transitioned into software engineering, with a commitment to developing high-quality applications that create tangible impacts.
If you have opportunities related to software engineering (Java/C++/Python/Backend/Cloud) or ML/AI development, please feel free to reach out.
August 03, 2024. I obtained the M.Sc. in Computer Science from the Georgia Institute of Technology.
September 09, 2023. I obtained the certification: AWS Certified Solutions Architect – Associate.
September 15, 2022. I finished the Udemy online course "Spring & Hibernate for Beginners" (my certificate). It covers Inversion of Control and Dependency Injection in Spring, Object-to-Relational-Mapping (ORM) with Hibernate. It's fun to work on database CRUD projects using Spring Boot!
August 22, 2022. I now started my study for the Online M.Sc. in Computer Science program at the Georgia Insititute of Technology (OMSCS).
July 12, 2022. I recently finished the Ultimate Java Mastery Series by Mosh Hamedani to recap/improve my Java knowledge. There is a lot of information and I enjoyed learning the advanced topics such as Streams, Lambda and Concurrency.
June 10, 2021. I attended the Google Cloud Applied ML Summit. There is a lot going on in the MLOps field, and will Google's unified AI platform Vertex AI be a hit?
June 6, 2021. I wrote a Medium post "Salary, Job Satisfaction, Trend of Data jobs", where I did some data analysis of the data jobs by using the Stack Overflow Data and built an XGBoost model to predict job satisfaction.
December 30, 2020. I finished the Udemy online course "Deployment of Machine Learning Models". Check my certificate here. Overall, it's a good course that really paves one's Data Science path towards a more software-engineering-focused world. Testing (Pytest, Tox), CI/CD and deployment (Dcokers, Heroku, AWS ECS) have been introduced. How to write production code, write tests for your ML system, and how to deploy the ML models are great topics that are worth every ML/DS practitioner spending time.
December 7, 2020. I wrote a post "How to Build a Real-Time Twitter Analysis Application Using Big Data Tools". Check it out on Towards Data Science.
October 3, 2020, I finished the "Object Oriented Programming in Java Specialization" at Coursera. Check my certificate here.
September 23, 2020, I finished the third course of the four courses in "Object Oriented Programming in Java Specialization". Checked my course certificate here: Object Oriented Programming in Java. Also check my Youtube video for the Java Applet I have created in the course project: An Interactive Map For Earthquakes.
August 22, 2020, I started taking the course "Big Data for Data Science" by WeCloudData. This part-time course will be 12-week long, and will cover the data science tool in the frame of big data. There will be course projects to build machine learning pipelines for streaming data by using AWS and Spark.