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chase's Introduction

Hi there ๐Ÿ‘‹


๐Ÿ”ญ I am an AI/Machine Learning Engineer who has worked on various aspects of Data Science/ML problems from brainstorming, prototyping, to productionizing and maintaining solutions, primarily specializing in chipping away the "Hidden Technical Debt in Machine Learning"

๐ŸŒฑ I have worked in the following areas/with the following tools (also few buzzwords for the search engines):
Machine Learning, Data Engineering, Data Analysis, Data Modelling, Algorithms, Classification, Regression, Supervised, Unsupervised, Deep Learning, Evaluation, Hyperparameter Tuning, Deployment/Productionizing, Monitoring/Maintenance, DevOps, MLOps, Distributed Computing, CI/CD, Testing, TDD
Python, R, C, C++, Pandas, Numpy, Dask, Scikit Learn, Tensorflow, Keras, Flask, Django
Git, Bash, Docker, Kubernetes, Helm, Kops, Kubeflow, MLflow
AWS, GCP, Sagemaker, API Gateway, AI Platform, ML Engine, S3, Cloud Storage, EC2, VM, ECR, GCR

โšก A bit of a background on how I got into the field and why I am still here -> I have always been passionate about Computers and the ability to make them solve problems for us. I value encountering challenging situations, enjoy analyzing & solving problems and seeing the results. The work done by computers tend to have these characteristics in abundance. I am fascinated by that and want to solve as many problems as I can. Code is a by product of this phenomenon.
Over time, I have acquired technical skills to code in a bunch of languages, tools. But again, I value the solving problems more than the tools used for that purpose.

๐Ÿ‘ฏ Strong believer in ๐Ÿ‘‰๐Ÿพ "AI is the new Electricity".

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