Hello, I’m François BEUGIN and I’m an Expert RAN Engineer with 6 years’ experience in 4G/5G network optimization, IoT integration, and Python-driven data analysis. Skilled in testing, validating, and deploying advanced 4G/5G features in live and lab environments to boost KPIs and network performance. I had the opportunity to work on diverse topics and more recently on 5G Standalone, Network Slicing and VoNR.
I am most skilled in: Python, Mobile Networks and Data Analysis
Skills
Experience
Jan 2024 - Present (2 yrs 4 mos)
Paris • France
- Led RAN integration and validation of 5G SA, VoNR and Slicing in both lab and live networks
- Coordinated testing of 4G/5G new features and conducted KPI analysis in live environments
- Delivered network optimization for NB-IoT & LTE-M, improving performance KPIs
- Oversaw large-scale drive-test data analysis, producing reports and dashboards
- Designed and executed 4G/5G radio acceptance test cases
- Configured and commissioned 4G/5G RAN nodes and associated network interfaces
- Acted as technical lead for troubleshooting and defect resolution, ensuring end-to-end RCA
- Led RAN integration of 4G and 5G Energy Saving Features to reduce cost and carbon footprint
Tools: Python Accuver XCAL/XCAP Actix Analyzer
Oct 2019 - Oct 2023 (4 yrs 1 mos)
Paris • France
- Managed system integration testing and validation of 4G/5G features across multi-vendor environments
- Designed and implemented automated configuration tools, accelerating test preparation and reducing errors
- Led the integration of the NB-IOT & LTE-M technologies from RAN Vendor side
- Participated in the Site Design during the initial 5G Deployment
- Collaborated with customers and internal teams on test protocol development for mobile radio equipment
- Coordinated defect handling and troubleshooting with customer engineering teams
Tools: Python Keysight Nemo Genex Probe
Mar 2019 - Sep 2019 (7 mos)
Paris • France
Bouygues Telecom
https://www.bouygues.com/en/activities/telecoms/bouygues-telecom/Radio System Engineer Intern
In order to upgrade and calibrate the 4G simulator and develop the 5G simulator, my main missions during this internship were :
- Identified the main data sources that can be used to calibrate the 4G simulator (probes, network counters, …) and selected and processed the relevant data
- Radio site classification based on daily traffic profiles using a K-means machine learning algorithm.
- Identified sources of information about 5G networks
- Analyzed packets exchanged between the mobile and the radio access network using QxDM
Tools: Python Anaconda Packages QxDM
Jul 2017 - Aug 2017 (2 mos)
Arques • France
- Worked on the assembly line, assisted the mechanical technicians
- Management of anomalies, failures
- Compliance with the hours, health and safety rules (equipment, personal protection, etc.)
Education
2016 - 2019
Brest - Rennes • France
IMT Atlantique (former Telecom Bretagne)
https://www.imt-atlantique.fr/enGeneral Engineering MSC Course - Networks and Telecommunications specialty
- General knowledge in Physics and Signal Processing
- Majors: Computer Science and Network
- Subjects: Mobile Network • IoT • Big Data • Databases
February - June 2018
Seoul • South Korea
During this exchange I could follow the following courses:
- Data Mining
- Advanced Digital Integrated Circuits
- Microeconomics
- Compiler Optimization
2014 - 2016
Lille • France
Two-year undergraduate intensive course
- Mathematics
- Physics
- Engineering Science
Projects
AI-Powered Korean Vocabulary Extraction & Automation
github.com/Bart0wski/android-korean-vocab-extractor-distribAutomating the transition from raw Korean text or vocabulary to structured, high-fidelity study materials.
- Built a native Android app (Flutter + Riverpod) powered by the Gemini API for multi-modal Korean vocabulary extraction from plain text, PDFs, and images with a single tap.
- Implemented a full vocabulary management system backed by SQLite: search, POS/tag filtering, CSV import/export, duplicate detection, and bulk selection.
- Prototyped an earlier browser-based version using a local server built with Python FastAPI, serving the same Gemini extraction logic via REST endpoints before the Android rewrite.
-
Leveraged Claude Code as a development agent throughout — from architecture decisions to debugging and release automation.
Tools: Gemini API Claude Code Python Android Anki
Multi Network Measurement & Telemetry Suite
Final Year Project at IMT Atlantique: Supporting Intelligent Network Selection.
- Engineered a telemetry agent on Raspberry Pi to collect real-time Wireless Network KPIs (Latency, RSRP, Throughput, GPS).
- Built a Flask-based REST API for centralized storage of vehicle-to-everything (V2X) data.
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Enabled a PhD research project to implement an ML-driven handover strategy (Wifi vs. LTE vs. Ethernet) based on this dataset and application needs.
Tools: Python Flask Raspberry Pi REST API LTE Metrics
Location-based Mobile Application Project at IMT Atlantique.
- Developed a Django REST API to handle real-time GPS coordinate processing for location-triggered content.
- Engineered a dedicated Admin API to allow content curation and live monitoring by external dashboard teams.
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Optimized backend architecture for efficient geospatial data handling in a gamified environment.
Tools: Python Django REST API
Hobbies
Alongside my interests in programming and mobile networks some of my other interests and hobbies are:
- 🕹️ Gaming
- 🏓 Table Tennis
- 🎴 Bridge
- ☕ Coffee Tasting