shared documentation across projects
Created: 2026-07-16 Thu 17:31
Spiega is a collection of articles/post written during 17y of career spanning over 3k3 source code files and 2k images. The main areas are around data science and the impact of using machine learning in operations and business. Some content is presented as slides or as automated generated summary in the overview page. For a more business oriented description of those activities refer to .
Figure 1: module library
During this time I tried to make the organize the diverse topics into some main areas which are:
<2013-09-12 Thu>
Here is a collection of experiences regarding project scoping, execution and reporting
Figure 2: module library
<2013-06-03 Mon>
Figure 3: module library
<2017-10-04 Wed>
Collection of projects for optimization challenges
Figure 4: module library
<2014-11-03 Mon>
Collection of libraries used as support to data projects
Figure 5: data science competences
<2013-05-04 Sat>
Collection of work to develops products and manage data platforms
Figure 6: data pipe example
<2002-10-03 Thu>
Non commercial projects around art, music and science
Figure 7: module library
<1997-03-04 Tue>
Figure 8: sciame library
This section collects the relevant experiences in project and team management. The whole list of the 40 projects is in portfolio.
Figure 9: management experience
<2026-02-04 Wed>
Being efficient in running projects is essential and (especially in an agentic world) we need to prepare a good background for those agents to operate
Figure 10: module library
Career is a long run, is made out of many investments in time and money. It needs planning and occasions, promotion and networking
Figure 11: manage your income
<2014-10-04 Sat>
Data platform management
Figure 12: module library
Team management
Figure 13: module library
Libraries mainly focused on optimization engine (operation, mobility…)
Figure 14: module library
<2017-10-16 Mon>
Geomadi was used to perform complex operations on a large network. The mongo database contained all the information regarding maps and POIs in Germany and we were analyzing spatial data regarding specific subset of a complex network. The library uses spatial queries and geometrical transformations.
Figure 15: geomadi library
<2019-10-16 Wed>
Antani is an optimization engine for logistics building efficient routes inspired by ants. The routes grow as polymers and variate to maximize opportunity/cost. This is a mixture of MonteCarlo as built in my PhD thesis and reinforcement learning. Each move has different polymer expansion options and the reinLearn decides what action to take to improve overall optimization time.
Figure 16: antani library
<2019-10-16 Wed>
Mallink is the python adaptation of allink which was writte 2008-2012 in C++ and used as engine for antani
Figure 17: mallink library
<2017-10-16 Mon>
Ndoe analyzes motion behaviors and builds mobility reports
Figure 18: ndoe motion patterns
Machine learning and statistics used in different projects
Figure 19: module library
<2014-11-16 Sun>
Lernia is a library used across project to use ML. It divides into lernia and deep_lernia where the second one is built on keras
Figure 20: lernia library
<2014-11-16 Sun>
Albio is a library to work with time series. During my career I used a lot of series decomposition and forecasts.
Figure 21: albio library
<2016-11-16 Wed>
Neuronal networks
Figure 22: deep lernia library
Knowledge used across the projects. How we take big logs and process them to get the most important information out of the big volume.
Figure 23: sawmill library
<2013-11-16 Sat>
Big data, data engineering, data pipelines, machine learning ops
<2006-11-16 Thu>
Development, sysadmin, prototyping
Figure 24: malastro library
<2019-07-03 Wed>
Coding interviews
Figure 25: assessment library
How to advice companies and clients to develop a digital/data strategy.
Figure 26: management experience
<2013-11-16 Sat>
Web marketing and digital services, customer retention and communication strategies
Figure 27: intertino library
<2013-11-16 Sat>
SME consultancy, ERP systems, digital strategies
Figure 28: TanTo
Non commercial projects for art and science
Figure 29: art and science
<1999-07-10 Sat>
Language and perception
Figure 30: kotoba
<2013-03-04 Mon>
Music development
Figure 31: viudi
<2008-09-15 Mon>
Software created during the PhD thesis
Figure 32: allink library
<2002-09-30 Mon>
Documents during the physics research period
Figure 33: fizikaj eroj library
<2006-03-02 Thu>
Development of algorithms for better performances
Figure 34: algo library
<2013-02-04 Mon>
Collection of media projects
Figure 35: media library
Sciame is a collection of projects for embedded and IoT devices
Figure 36: electronics and IoT
Figure 37: sciame library
cd $HOME/lav/src/spiega
bash ./script/convert.sh
ls ~/lav/src/spiega/markdown/agent*