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Hi there, I'm Haely 👋

About Me

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 delving into what they call Data/MLOps or Data Centric AI, and what I label as Data/ML Parenting.

My Interests

  • Cloud Optimization (Google Cloud Platform, AWS)
  • Machine Learning/Data Operations (ML/DataOps)
  • NLP on Non-Latin languages

Recent Projects

Get in Touch

Fun Fact

  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

haely's Projects

bigquery-oreilly-book icon bigquery-oreilly-book

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

devops-guide icon devops-guide

DevOps Guide from basic to advanced with Interview Questions and Notes 🔥

diaspora icon diaspora

A privacy-aware, distributed, open source social network.

gobgp icon gobgp

BGP implemented in the Go Programming Language

grammatical-facial-expressions- icon grammatical-facial-expressions-

Implementing and comparing various classification algorithms on 'Grammatical Facial Expressions' a popular UCI machine learning data set.

poker-on-the-internet icon poker-on-the-internet

This project implements poker on the Internet. It will accept one to five players. More than five players tend to spread the deck out too much. Every player will need a public/private key to play. They will also need to have an account with the house. Startup will have to be coordinated amongst the players. Session keys will be established between the house and the players.

quora-insincere-question icon quora-insincere-question

Quora has used manual review and Machine Learning to predict if a question is sincere or not. Quora classifies insincere questions as questions that have a non-neutral tone, are based on false information, and/or use sexual content for shock value. Insincere Questions Classification is an ongoing Kaggle competition for developing the most accurate Machine Learning models to weed out insincere questions.

rsa-algorithm icon rsa-algorithm

A class assignment (EE 209) on creating the RSA asymmetric cryptographic algorithm.

update_nlp icon update_nlp

A repository to host extended examples and tutorials

vanet icon vanet

Simulating multi-level clustering in VANET

zeek-indenter icon zeek-indenter

A python package to indent Zeek scripts per the Whitesmiths coding style.

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