Developer, data geek and tinkerer. Attempting to automate life, the universe, and everything, one line of code and one soldering joint at the time.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bookingcom
Data Scientist
June 23, 2026 – Present
gpstracker
February 27, 2025 – Present
A mobile-friendly web application to store and visualize your self-hosted location data.
View Projectnvim-http
April 3, 2023 – Present
An HTTP client for neovim inspired by vscode-restclient and the IntelliJ HTTP client
View Projectmicmon
October 27, 2020 – March 6, 2025
A Python library and set of scripts to create labelled audio datasets from raw audio files and use them to train sound detection models.
View Projectleap-sdk-python3
May 22, 2018 – August 15, 2020
Leap Motion SDK - Python 3 module builder
View Projectplatypush
November 3, 2017 – Present
A versatile and extensible platform for automation with hundreds of supported integrations
View ProjectSnort_AIPreproc
August 14, 2010 – June 27, 2019
A preprocessor module for Snort that uses ML algorithms for pruning, clustering and finding correlation between alerts
View ProjectSoftWire
May 25, 2009 – May 28, 2009
SoftWire is a class library written in object-oriented C++ for compiling assembly code. It can be used in projects to generate x86 machine code at run-time as an alternative to self-modifying code. Scripting languages might also benefit by using SoftWire as a JIT-compiler back-end. It also allows to eliminate jumps for variables which are temporarily constant during run-time, like for efficient graphics processing by constructing an optimised pipeline. Because of its possibility for 'instruction rewiring' by run-time conditional compilation, I named it "SoftWire". It is targeted only at developers with a good knowledge of C++ and x86 assembly. Project originally by Nicolas Capens, new implementation by Simone Margaritelli aka evilsocket
View ProjectCultural Fit Analysis
The candidate's extensive personal projects showcase a strong drive for independent work and exploration of various technical domains. This indicates a proactive and self-motivated individual. The projects span different areas (data science, web development, system utilities), suggesting a versatile mindset. The current Data Scientist role at Booking.com aligns well with the target role, indicating a professional fit. However, the lack of team-based project descriptions or collaborative experiences makes it difficult to fully assess cultural fit in a team-oriented environment.
Soft Skills & Operational Fit
The candidate's personal projects demonstrate initiative, self-direction, and a passion for problem-solving. The diversity of projects, from HTTP clients to automation platforms and data processing, suggests adaptability and a broad interest in technology. However, without specific psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration.