We are software engineers who are passionate about sustainable computing on big datasets.
I have been an independent consultant and Python and C developer with more than 25 years of experience wrestling with Big Data, as well as leveraging compression techniques for accelerating I/O. I am a long time advocate of the fact that compression can lead to more efficient computation, so I co-created ironArray to prove it.
I am an entrepreneur and technologist with two decades of experience building efficient high-performance computing systems. I got hooked to computing efficiency when building low-latency electronic trading software and infrastructure. I thought that computing could be done better, so I went forward and co-created ironArray.
I am a computer mathematician focused on optimizing codes for high-performance computing of large amounts of data. I am part of the Blosc team, specially for the making of Caterva library. I currently work in optimizing the hot spots inside the ironArray library.
I am a computer mathematician who has worked with the Blosc team as an intern. Here I implemented the part of the sparse on-disk storage for the C-Blosc2 library. Currently I work on quality assessment for the ironArray library (both the C and Python wrapper).