I am a curious learner with a background in infrastructure and statistics. I love to learn almost as much as I love to share what I have learnt. My interests in mathematics, data analysis, infra, and efficiency/optmality in all things bring me to always research, share, and optimize. These days I am learning and experimenting on making ML solutions more efficient and accessible. This has drawn me to taking a course in TinyML and learning about its potential to bring the power of AI to resource-constrained devices.

• Cloud & ML Optimization (Google Cloud Platform, AWS)
• Machine Learning/Data Operations (ML/DataOps)
• TinyML

• TinyML Experiments: https://github.com/haely/TinyMLnotes - Exploring TinyML techniques like pruning and distillation, and building an Android app that runs a TensorFlow Lite model.

• LinkedIn: https://www.linkedin.com/in/haelyshah/

1. I love statistical paradoxes and I am told that I force them into everything I read and write.
2. 1995 BBC Pride&Prejudice >>> all of them