About me

I'm deeply passionate about using AI to solve strategic business problems. My interests lies at the intersection of data science and software engineering, to build scalable ML powered services for global customers. I have core competencies in building and deploying end-to-end machine learning models that scale over distributed systems, and am proficient in Python, Golang, Pandas, SQL, Sklearn, TensorFlow, KubeFlow, TensorRT, TFX, PyTorch, PySpark. Additionally, I also have strong software engineering skills in Data Structures, Algorithms, Systems Design, MLOPs, APIs, Kubernetes, Cloud Architecture (GCP, AWS, Azure), Databases (PostgreSQL, MongoDB), Logging (Elasticsearch, Kibana), Web Development (APIs, Flask, Javascript) and CI Testing (Unit, Integration, Functional). My work experiences include Goldman Sachs, Grab and DataRobot, having studied Computer Science at UC Berkeley, Georgia Tech and NTU. Feel free to reach out to me for any opportunities that might be a good fit :) Email - [email protected] Github - https://github.com/pangshengwei Portfolio - https://pangshengwei.gitbook.io/home/tech-projects