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👋 Hello, visitor

I'm Steven, a Machine Learning Engineer in Berlin who likes to work on useful products. In my spare time, I either build tools that improve my daily life or write blog posts to advertise my tools. I enjoy learning new technologies and using them to solve practical use cases.

Worked on quite a lot of different projects such as:

Connect with me on

steven-mi @stevenmi pqbsbk

Steven's Projects

code-qa icon code-qa

CodeQA: Unleash the power of AI in your codebase. Ask questions & get insights from your document.

convolutional-numpy-network icon convolutional-numpy-network

A framework for defining neural network with a Keras-like API. Implementation of all the layers, techniques and methods in NumPy.

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

hackernews icon hackernews

A web application for posting sharing, and liking news written in Javascript with VueJS, Apollo GraphQL and Neo4J

htw-berlin-kbe-exercise-template-2021 icon htw-berlin-kbe-exercise-template-2021

Template repository containing exercises for developing backend systems in Java. This was used for the component-based software development course at HTW-Berlin in winter 2020/21 and summer 2021.

imagenet-dataloader-tensorflow icon imagenet-dataloader-tensorflow

Code for a ImageNet data loader for Tensorflow. It downloads the ImageNet dataset (if not available) and creates a Tensorflow dataset object for further usage.

mlflow-server icon mlflow-server

Code for running a MLFlow docker container with nginx authentication.

newscrawler icon newscrawler

NewsCrawler is a Python library for crawling online newspaper articles. It has a minimal interface to insure maximum productivity with minimal work.

newsgen icon newsgen

Newsgen is a web application for generating German newspaper articles. The entire stack consists of a React frontend and several Scala Play services.

newspipe icon newspipe

Complete pipeline for crawling online newspaper article. The articles are stored to MongoDB. The whole pipeline is dockerized, thus the user does not need to worry about dependencies. Additionally, docker-compose is available to increase the useability for the user.

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