Projects
Some of my Projects ...
1.
1 of 3
Waill Document Search AI
Waill is a web service for document information exctraction currently based on OpenAI beta API features. Sign up on Waill and OpenAI and start asking your documents questions to gain insights faster.
(After logging in, loadtimes of the platform might be a bit longer than expected due to server coldstarts.)
2.
Scan Admin Platform / labeltrackr.
In order to simplify the operation of Scan Records, an indipendent music label for electronic music, I developed the Scan Admin Platform, a Next.JS web application that collects, stores and manages artist and release data, allowing artists to add information to their own releases and submit songs independently.
I'm currently working on generalising the Admin Platform as a standalone SaaS product "labeltrackr" (Not open to the public yet). Visit labeltrackr.com for more Information.
1 of 4
3.
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scanrecs' Website and Artist Dashboard
This project for Scan Records, an international underground record label for electronic music, contained a homepage, a webstore using payhip.com and an artist dashboard, which collects, aggregates and displays key insights into an artists performance.
Visit Project:
scanrecs.com4.
Predict Covid Deaths ML Algorithm
This project is a machine learning algorithm for predicting corona death numbers for a given week based on an infection data set (Kaggle competition). The algorithm was written in Python in a jupyter notebook, primarily using the libraries scikit-learn, numpy and pandas. (Competition place 38/80)
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5.
1 of 2
And many more...
About Me
Photo by Anton Buddeberg: Me in front of the "Honsellbrücke" - Frankfurt
I grew up in Frankfurt, Germany and quickly stumbled over game development as a child.
With time, my passion for code matured and developed into what it is today and has enabled me to keep sharpening my software develoment skills.
Today, I enjoy analyzing problems and developing solutions. I love conceptualising systems, finding real life applications for my skillset and seeing a project come to life piece by piece.
Next to my interest in software, I also enjoy utilising music and art as a creative outlet.
contact@felixkniest.com
After my Abitur at "Carl Schurz Schule Frankfurt" in 2022 (Grade 1.0 or 4.0/4 GPA | Majors in Maths and Chemistry), I started studying Applied Computer Science in a cooperative study program (Duales Studium) at BA Rhein Main in 2022 (Current Grade 1.3 or 96.3% avg) and will recieve my Bachelors of Science in 2025. The cooperative study program allows me to work full time at creditshelf AG for 6 months out of the year next to my 6 months of full time studies. For more information see my LinkedIn page linked below or contact me at contact@felixkniest.com.
Projects
Some of my Projects ...
1.
1 of 3
Waill Document Search AI
Waill is a web service for document information exctraction currently based on OpenAI beta API features. Sign up on Waill and OpenAI and start asking your documents questions to gain insights faster.
(After logging in, loadtimes of the platform might be a bit longer than expected due to server coldstarts.)
2.
Scan Admin Platform / labeltrackr.
In order to simplify the operation of Scan Records, an indipendent music label for electronic music, I developed the Scan Admin Platform, a Next.JS web application that collects, stores and manages artist and release data, allowing artists to add information to their own releases and submit songs independently.
I'm currently working on generalising the Admin Platform as a standalone SaaS product "labeltrackr" (Not open to the public yet). Visit labeltrackr.com for more Information.
1 of 4
3.
1 of 6
scanrecs' Website and Artist Dashboard
This project for Scan Records, an international underground record label for electronic music, contained a homepage, a webstore using payhip.com and an artist dashboard, which collects, aggregates and displays key insights into an artists performance.
Visit Project:
scanrecs.com4.
Predict Covid Deaths ML Algorithm
This project is a machine learning algorithm for predicting corona death numbers for a given week based on an infection data set (Kaggle competition). The algorithm was written in Python in a jupyter notebook, primarily using the libraries scikit-learn, numpy and pandas. (Competition place 38/80)
1 of 3
5.
1 of 2
And many more...
About Me
Photo by Anton Buddeberg: Me in front of the "Honsellbrücke" - Frankfurt
I grew up in Frankfurt, Germany and quickly stumbled over game development as a child.
With time, my passion for code matured and developed into what it is today and has enabled me to keep sharpening my software develoment skills.
Today, I enjoy analyzing problems and developing solutions. I love conceptualising systems, finding real life applications for my skillset and seeing a project come to life piece by piece.
Next to my interest in software, I also enjoy utilising music and art as a creative outlet.
contact@felixkniest.com
After my Abitur at "Carl Schurz Schule Frankfurt" in 2022 (Grade 1.0 or 4.0/4 GPA | Majors in Maths and Chemistry), I started studying Applied Computer Science in a cooperative study program (Duales Studium) at BA Rhein Main in 2022 (Current Grade 1.3 or 96.3% avg) and will recieve my Bachelors of Science in 2025. The cooperative study program allows me to work full time at creditshelf AG for 6 months out of the year next to my 6 months of full time studies. For more information see my LinkedIn page linked below or contact me at contact@felixkniest.com.