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Hej! I'm @erikdao (Erik Dao) 👋

I'm an MLOps Engineer based Stockholm, Sweden. 🇸🇪

Starting from 2020, I've dived deeper into machine learning/deep learning, especially computer vision. My main studies and works have been on object detection, and semantic segmentation with some of the state-of-the-art models such as vision transformer.

Recently, I've started my post as an MLOps Engineer at Epidemic Sound, Stockholm Sweden. I'm now more into tinkering around all aspects on MLOps.

You can find me on:

Erik Dao's Projects

amt_bbox icon amt_bbox

A small tool for annotating images and verifying AMT workers' annotations

cli-wg icon cli-wg

The only purpose of this is to redirect old links to

d2l-en icon d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

daps icon daps

This repo allocate DAPs code of our ECCV 2016 publication

europe-geo icon europe-geo

A simple app to learn about the geography of European countries

fastapi icon fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

flyte-nlp icon flyte-nlp

An NLP Use Case deployed and executed on Flyte

google-admin icon google-admin

A Google Admin interface built with React, Typescript and TailwindCSS

headlessui icon headlessui

Completely unstyled, fully accessible UI components, designed to integrate beautifully with Tailwind CSS.

knowledge-repo icon knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

matprisnu icon matprisnu

🥕A product that helps customer find groceries with best prices 🧈

mattermost-webapp icon mattermost-webapp

Webapp of Mattermost server: https://github.com/mattermost/mattermost-server

mle-roadmap icon mle-roadmap

Road map to become a Machine Learning Engineer 2023

mlflow icon mlflow

Open source platform for the machine learning lifecycle

mlp-timeseries icon mlp-timeseries

Time series prediction using MLP with #pytorch, #pytorch-lightning

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