Hello, I'm Bruno 👋
I'm a Software Engineer with expertise in Python and React. Over the past decade, I've navigated diverse challenges, from academic research to startup environments.
I spent three years as a Natural Language Processing researcher at the University of Strasbourg (France), where I worked on labelling data and fine-tuning BERT, one of the first LLM, for coreference resolution in French. My work resulted in several peer-reviewed scientific papers (see Google Scholar).
In the last five years, I've focused on developing SaaS applications for two B2B cybersecurity startups, Cogiceo and Mantra. At Cogiceo, I built tools for automated analysis and vulnerability scoring of Android apps and browser extensions. At Mantra, I've developed systems for real-time email analysis to detect phishing attacks.
My work involves typed and tested Python (FastAPI, Django, Flask) alongside TypeScript and React, with a commitment to clean, maintainable code following Domain Driven Design.
I'm always eager to explore new technologies and enjoy tackling challenges that push me to learn and grow.
Outside of work, I enjoy creating open-source tools that are useful to me (and hopefully others too). You can check out my work on the project page.
If you'd like to connect or discuss a project, feel free to reach out at bruno@boberle.com.
Relevant work experience
- Real-time analysis of emails to detect and prevent phishing attempts (Office 365/Gmail Workspace)
- Displaying banners with user-friendly explanations on suspicious emails
- Developed with Python, FastAPI & React, in an Event Driven Architecture hosted on Google Cloud Platform
- Clean code, Domain Driven Design, Hexagonal architecture, fully typed Python using Mypy
- Monitoring and alerting with GCP and Sentry
- Customer support when technical insight is required
- SaaS application for automatic analysis and vulnerability scoring of Android apps and browser extensions
- Saas application for collaborative edition of pentest audit reports
- Complete SaaS Human Resource solution for internal use (paid leaves, expense claim, transit pass, meal voucher...)
- Backend coded with Python/Flask and frontend with JavaScript/Bootstrap/jQuery
- Fine-tuned the Large Language Model BERT for automatic coreference detection in French (published at LREC 2020, available on github )
- Developed several tools for coreference annotation and research (e.g. SACR , Coref Conversions , Coref DB and CRViewer )
- Directed part of the labelling process of a large corpus for coreference detection in French
- Participation in the ANR (Agence Nationale de la Recherche) project Democrat
- Published 9 peer-reviewed papers and made 8 communications
- Courses: Introduction to Python, Linux command line, Statistics with R, XML
- Small groups of 10 to 15 students
- Courses: Syntax, Morphology, Discourse analysis, Sociolinguistics
- Large groups of 50 to 100 students
Languages
Native
Fluent
Beginner
Scientific Papers
I have published peer-reviewed scientific papers and presented my work at several conferences and workshops.
Check them out here or on Google Scholar.
Skills
Python
Mypy
Pytest
Pydantic
FastAPI
Django
Flask
JavaScript
React
Redux
TypeScript
Google Cloud Platform
Golang
Git
Gitlab
Sentry
SQL
Linux
Perl
Jupyter
Pandas
Education
Thesis: Developed an end-to-end rule-based coreference resolution system in Python
Published at the conference TALN-RECITAL (Association française pour l'Intelligence Artificielle) in 2019
Thesis: Statistical and linguistic analysis of coreference chains in research articles
Published in the journal Discours: A journal of linguistics, psycholinguistics and computational linguistics in 2020
Language and Linguistics of French, Greek and Latin
Analytic philosophy, Logic (predicate and propositional calculus), Epistemology, French philosophy