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Hi, I am Mike Pham👋

Project Areas

I am consultant in data science, machine learning, artificial intelligence.

I am also looking for full-time employment. I tend to work on quite a few projects, as many as time permits, but my focus is mostly around the following areas:

2023 - current

  • openai
  • generative ai
  • google bigquery
  • google analytic 4
  • ecommerce, experimentation

2021 - 2022

  • rapidsai
  • nvidia gpu
  • python
  • product management

You can check out my website: anhmike.github.io

Mike 's Projects

mithril-quickstart icon mithril-quickstart

Project template for mithril, with JWT auth, themed bootstrap & easy animations

ml icon ml

Machine-learning toolkit

mlfinlab icon mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mlviz icon mlviz

Visualizations of machine learning algorithms

mmlspark icon mmlspark

Microsoft Machine Learning for Apache Spark

model_navigator icon model_navigator

The Triton Model Navigator is a tool that provides the ability to automate the process of model deployment on the Triton Inference Server.

models icon models

Merlin Models is a collection of deep learning recommender system model reference implementations

modin icon modin

Modin: Speed up your Pandas workflows by changing a single line of code

mongodb-starter icon mongodb-starter

A developer directory built on Next.js and MongoDB Atlas, deployed on Vercel with the Vercel + MongoDB integration.

mortgage icon mortgage

Mortgage overpayment calculator using React, Redux and D3 4.0

mortyui icon mortyui

A very simple Rick & Morty app to demo GraphQL + SwiftUI

moshi icon moshi

A modern JSON library for Kotlin and Java.

movieswiftui icon movieswiftui

SwiftUI & Combine app using MovieDB API. With a custom Flux (Redux) implementation.

mplfinance icon mplfinance

New mplfinance package (to replace mpl-finance sometime in 2020).

music-clustering icon music-clustering

K-Means Clustering and PCA to categorize music by similar audio features

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