lambdaforge is a consulting company that specializes in information system engineering and digital products.
We design and build scalable, maintainable and reliable systems for data-intensive applications by building on a combination of the best open-source industry standards and our own open-sourced stack.
We are not only able to handle large amounts of data in our pipelines, but believe in tight integration with both well established and bleeding-edge data science technologies. To do so we conduct scientific research parallel to our consulting work.
We can work with state-of-the-art machine learning frameworks in Python or R, but through our deep understanding we also tightly integrate the necessary numerical routines directly and can infer business-critical information in realtime.
Given a problem our team of specialists forms a self-managed, focused unit formalizing the product design given the underlying business model to implementing a flexible scalable full-stack system design. We then keep your long-term costs low by running the resulting system smoothly.
Konrad is a seasoned system's engineer with over ten years of programming experience covering a wide range of technologies and processes. He pushes the boundaries by mixing established technologies with problem-specific custom solutions to provide optimal software architectures for the task at hand. He always puts the focus on the business model first to derive cost-effective and evolvable solutions for each problem.
Contributing to popular open source projects he also promotes open-source solutions to the community in meetups, events and can provide courses to get your team up to speed in modern scalable IT architectures and technologies.
Christian is an awarded distributed system architect and expert in combining machine-learning systems with scalable data-processing systems.
Being a computer scientist by training he cares deeply about the economic success of projects. Drawing on his academic network he can quickly research state-of-the-art solutions for problems and helps to frame a long-term strategy for products and companies. He educates with passion and pushes the boundaries by developing new machine-learning technologies in his PhD at UBC.
Judith is an application-oriented data scientist whose areas of expertise include machine learning and the processing of large amounts of data with the help of parallel programming techniques.
She is always keen to work closely with people from other fields of interest and supporting them with understanding about methods and technologies concerning modeling, processing and intelligent storage of data as well as its usage as tool for reasoning and knowledge discovery.
Pablo Mestre Drake
Pablo is an experienced devops engineer who specializes in administrating modern scalable web solutions with the best technologies suited for the job. Being an open source advocate he is an expert in Linux systems and orchestrates systems with modern container solutions.
As a cuban citizen working in Brazil he supports the south american free software community by organizing events like the cubaconf.
Chrislain obtained a PhD from Geneva University on runtime support for Java applications, before spending a postdoctoral year at Sun Microsystems, Palo Alto. He has since worked on development projects in Geneva for an international organization and a bank. He taught undergraduate courses on communication protocols and multimedia at Geneva University.
Open Source Contributor
As an avid open source developer Ferdi supports us in his free time on our open source libraries konserve and incognito. He works at jSERVICE as a Clojure developer in Münster.
As open source developers we are interested in transferring our knowledge about our work as often as possible. Here we are collecting the latest blog articles, talks or announcements.
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