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Samuel Bresciani

@samuelbresciani

R&D Software developer, graduated in Physics and with 6 years work experience of R&D, software development, data science and geographic systems GIS.

Italy

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What I'm looking for

I'm interested in R&D roles combining mathematical modelling and programming.

At BVTECH – PROGESI, I develop Python geoprocessing services for vector data and help migrate viewers from ArcGIS SDK 3 to SDK 4. My work includes publishing geoprocessing tools as ArcGIS Server REST services.

At F2 INFORMATICA, I developed Python back-end code for an Almaviva R&D project processing satellite raster data into interferograms and maps of ground subsidence. I also researched open-source remote-sensing approaches using PSI and SBAS methodologies.

At GMI SRL, I used experiments and numerical simulations to find a mathematical relationship between laser-cutting machine parameters, then developed C# software based on the resulting model. I also implemented a nesting algorithm to arrange pieces and minimise material waste.

I created StudySprint, an Android app and iOS web app based on my open-source Always Less Effort method for distributing study workloads across days. I formalised the method analytically and implemented it in C++ for the apps; the Android app was released on Google Play Store and the iOS web app followed.

Experience

Work history, roles, and key accomplishments

Current

Software Developer

Current

BVTech – Progesi

Feb 2024 - Present (2 years 8 months)

Develops Python back-end geoprocessing services for vector data processing and migrates ArcGIS viewers from JavaScript to TypeScript. Coordinates tasks and manages code versioning and releases.

Python ArcGIS JavaScript TypeScript HTML CSS Tomcat Maven Angular NodeJS QGIS JSON XML YAML SQL Oracle DB SonarQube

Data Engineer

F2 Informatica | Data Reply

Feb 2023 - Jan 2024 (11 months)

Built and fixed data pipelines on Hadoop ecosystem using Apache NiFi, Python, and SQL. Performed unit tests and used Jenkins, SonarQube, and Git for quality and versioning.

Hadoop Cloudera Apache NiFi Python SQL Hive Impala Maven Jenkins SonarQube Git

Python R&D Back-end Developer GIS

F2 Informatica | Almaviva

Jul 2022 - Jan 2024 (1 year 6 months)

Developed Python back-end APIs with Flask and processed satellite raster data for ground subsidence mapping. Conducted R&D scouting for open-source remote sensing solutions.

Python Flask Postman GDAL Sentinel 1 PSI SBAS scikit learn Pandas NumPy Azure Git

Data Scientist

AGM Solutions | Power Reply

Jul 2021 - Jul 2022 (1 year)

Extracted and analyzed data from Azure Cloud DB using Python and SQL in Databricks. Produced monthly Excel reports from ML model outputs and built Power BI dashboards.

Python SQL PySpark Databricks Excel SSMS (Microsoft SQL Server Management Studio)DBeaver Azure Data Factory Power BI Git Visual Studio Azure DevOps

Researcher and Software Developer

GMI Srl

Oct 2020 - Jun 2021 (8 months)

Designed and executed experiments to optimize laser cutting performance, deriving a mathematical relationship between machine parameters. Implemented a nesting algorithm in C# to minimize material waste.

Mathematical Modeling Mathematical Optimization Experimental Design Statistical Analysis Uncertainty Quantification Python NumPy Scipy SymPy Matplotlib C#LaTeX Google Sheets

Education

Degrees, certifications, and relevant coursework

Udemy

Course, Data Science and Machine Learning

Completed an 18-hour course on Data Science and Machine Learning with Python.

Università degli Studi di Padova

Master's Degree in Physics, Physics

Grade: 107/110

Activities and societies: Master's degree in Physics (LM-17) with curriculum in Physics of Matter, taught entirely in English, with main courses in statistical mechanics, complex systems, fluid dynamics, advanced statistics, and laboratory.

Thesis at RFX in CNR of Padova (Padua PD).
“Reynolds stress dynamics and turbulent energy transfer during stimulated H-Mode transition in RFX-mod tokamak" about plasma turbulences data analysis in Python obtained in tokamak RFX-mod fusion reactor to study the transition from low confinment to high confinment of plasmas
( online at https://hdl.handle.net/20.500.12608/21285 ).

Università degli Studi di Padova

Bachelor's Degree in Physics, Physics

Bachelor's degree in Physics (L-30) with thesis on statistical analysis of ALICE experiment data at CERN, including background model selection and fitting of Pb-Pb and p-Pb collision data.