I really like problem solving, and writing is where problem solving information meets aesthetics. Great pleasure comes from beautiful uses of language and code;
like when antonyms have the same number of letters,
even more synonyms with all word widths as options,
this gift allowing code and poem rivers to trickle;
Research[1] possible improvements to our ability to rank stuff. Human preferences is a very complex topic, but even more so is how to optimally adjust to human preferences so that we can achieve satisfaction and fairness with utility.
Experiment[2] with visual ways to represent quality of ordering. Because ranked data consumption patterns vary greatly, perception should not be abstracted away. Instead, it can become a useful tool to bring understanding and improvement.
Develop[3] tools implementing ranking evaluation techniques. Offering the latest research and experimentation results with Open Source libraries.
[1]:
Experiments for my MSc thesis on ranking utility analysis
[2]:
D3 plugin for graphical representations of ranked data
[3]:
Python package to be used in [Learning to] Rank evaluation
I want to solve a problem. I know how to sort things, literally.
Ranking theory is a central topic in Information Retrieval and has a wide range of applications. Web search is the most common, but there are more specific query scenarios where the result set ordering is specially impactful.
I've decided to focus on searching people. Not by name, not by photo. By who they really are, what they've done and where they might want to be. This is why I joined Gupy[4] in a mission to transform the search for professional realization.
[4]:
Recruitment and Selection software empowering HR
Now. Reach me out at