Hey there, I'm Philipp 👋
I'm super passionate about the act of building sustainable, bootstrapped businesses which solve real-world problems. While I love to learn and experiment with different ideas related to that I more so enjoy sharing my learnings online to help others succeed. That's what this blog is all about.
When I'm not "Indie Hacking" I love to immerse myself into Math and Science, always trying to get out of the "comfort zone" to explore and understand recent discoveries. While studying such topics I follow the Feynman Technique and consolidate my learnings in blog posts and code I share on this personal blog and my GitHub account.
My main area of interest is Machine Learning algorithms with a focus on privacy preserving methods such as Homomorphic Encryption, Secure multi-party computation, Federated Learning and Differential Privacy.
I worked at Serverless, Inc. as an Open Source Engineer where I co-created the Serverless Framework, an Open Source tool which makes it easy to develop, manage and deploy serverless applications to different cloud providers.
Previously, I worked at my own startup where we built a video recruiting software called “hireTV” which bridged the communication gap between corporations and Generation Y during the hiring process.
Before that I studied Computer Science and worked at IBM on projects ranging from SAP consultancy, Linux kernel driver development for S/390 architectures to web portal integrations for a German car manufacturer.
The following is a list of projects I've been involved with over the last couple of years. It's just an excerpt of what I'd consider noteworthy. Feel free to check out my GitHub account to see more Open Source projects.
I'm a huge fan of blogging. It's a great way to share your knowledge and talk about the things that matter to you. As a writer there's always the challenge to effectively reach your target audience. Sure, there's SEO but do you really want to play that game and wait months or years until you're writing content that pleases your search engine of choice? Switching to the readers point of view it gets harder and harder to discover good, valuable content which isn't optimized for search engine rankings or clicks.
In order to solve those two problems I built Interlayer which is a Widget you can embed easily on your website or blog.
Once embedded, Interlayer uses advanced Machine Learning techniques to crawl, analyze and understand the websites content. When a visitor reaches the end of a post or page the Widget will be displayed, recommending complementary content based on the users interests from other sites using Interlayer.
Your readers will be delighted to find the next story they can immerse themselves into while you refer and receive interested visitors from your target audience.
I worked on the project as a contributor in it’s
v0 days where it had ~ 5.000 GitHub starts. Shortly thereafter I joined Serverless, Inc. and helped re-designing the project from scratch, resulting in what is now known as the Serverless Framework
v1, amassing more than 33.000 GitHub stars along the way.
Serverless Components make it easy to build use-case focused serverless applications by re-using and composing self-contained building blocks. Such components can range from a simple AWS Lambda component to a more sophisticated Web-Backend component (which internally orchestrates other components).
I designed and implemented the first version during a hackathon we held at Serverless, Inc. Furtermore I was involved in several redesigns the project went through on its way to a production-grade product.
Serverless Framework Enterprise
Serverless Framework Enterprise is a companion tool suite which helps operating and collaborating on large scale serverless deployments.
I worked on the communication and integration between external applications such as the Serverless Framework and the backend cloud infrastructure. In particular I architected and implemented the state storage layer, ensuring that deployment state is versioned and fast to store and retrieve.
Sled is a modern embedded key-value database written in Rust.
While learning Rust I implemented a simple benchmarking solution to analyze Sleds throughput.
I decided to implement this project after being frustrated with the slow feedback loop using existing CI / CD solution.
James is a simplistic note taking application which makes it possible to quickly jot down, save and easily retrieve ideas.
James was built as an internal tool at my startup and acted as the single source of truth for notes which were shared among our team.
Scalable is a modularized system which makes it possible to build software solutions tailored to specific business needs.
After seeing the problems with existing business software suites I decided to implement a system which makes it possible to compose existing, self-contained modules into larger applications.
Collablearn is a collaborative learning environment which helps students study together to prepare for their exams and finals.
Collablearn was built to scratch my own itch while I studied Computer Science where some classes required us to memorize lots of facts in a short period of time. From day one it supported an offline and mobile optimized learning experience, making it possible to take some quizzes while waiting in line or riding the bus.