Published inTDS ArchiveWhat Being a Full-Stack Data Scientist at a Startup Is LikeConstant acceleration, highly collaborative, and always learningAug 5, 2023A response icon2Aug 5, 2023A response icon2
The Rising Demand for Machine Learning Engineers in the Era of AI and Large Language ModelsThe need for full stack MLEs is rising exponentiallyJun 17, 2023Jun 17, 2023
Published inTDS ArchiveOvercoming Some of the Worst Parts of Being a Data ScientistThis field isn’t perfect so it’s best to set expectations properlyJan 12, 2023A response icon2Jan 12, 2023A response icon2
Published inTDS ArchiveTraining XGBoost with MLflow Experiments and HyperOpt TuningA starting point on your MLOps JourneyJan 9, 2023Jan 9, 2023
Published inTowards AIChatGPT is the End of the Beginning of the AI RevolutionWhat does an AI-powered world look like, and how can we prepareJan 2, 2023A response icon3Jan 2, 2023A response icon3
My 2022 Year in ReviewWho I was this past year and who I aspire to become in the nextDec 28, 2022A response icon1Dec 28, 2022A response icon1
AI is Making Everyone a StorytellerThe Empowerment and Replacement of Artists Looks Eerily SimilarDec 9, 2022Dec 9, 2022
Published inTDS ArchiveThinking Fast and Slow for Data ScienceThe importance of knowing when to use Experimentation and when to use MLOpsOct 11, 2022A response icon1Oct 11, 2022A response icon1
Published inFulcrum AnalyticsMLOps: Building Machine Learning SystemsThe importance of thinking larger when designing effective and ethical machine learning systemsSep 14, 2022Sep 14, 2022
