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Hej! I'm @erikdao (Erik Dao) 👋

I'm a machine learning engineer base in Stockholm, Sweden. 🇸🇪

I have just finished my master studies in machine learning at KTH Royal Institute of Technology.

I enjoy building web products in Django, React, AWS, etc. I have been working as a full-stack developer for four years before I started my master.

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, semantic segmentation with some of the state-of-the-art models such as vision transformer.

I'm looking for opportunities to work in machine learning in the industry.

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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