I am a Telecommunication Engineering M.Sc. student from Politecnico di Milano. My background spans signal processing, Embedded software development, data science and analytics and software engineering. I have hands-on experience building high-availability architectures, working with embedded hardware, and developing cross-platform applications.
Assembly
Bash
C++
Dart
Flutter
gRPC
HTML
Java
Javascript
Latex
LTspice
Node.js
NodeRed
Python
R
React.js
CSS
Typescript
Matlab
My Master's Thesis project focused on simulating semantic communication via Feature Identification with Sionna. I designed a modular multi-process architecture using gRPC for interprocess communication and utilized Nvidia's Sionna library for physical-layer wireless simulation.
IOT challenges
GeoPhysical Imaging challenges
Modeled a UAV radar system to analyze target detection at varying ground ranges. I performed theoretical derivations for antenna gain and power requirements and used MATLAB to simulate the transmission and reception of Linear Frequency Modulation chirp signals. By implementing matched filtering for range compression, achieved significant signal processing gain, effectively isolating target energy from thermal noise.
This project focused on developing a Synthetic Aperture Radar (SAR) imaging system for UAV platforms. The project involved processing recorded radar echoes using range compression and implementation of the Time Domain Back-Projection (TDBP) algorithm to generate high-resolution environmental images. It also involved noise filtering and performance evaluation.
Developed a mobile application implementing geo-fencing to provide location-based notifications, targeted advertisements, and accurate ETA predictions for users.
Evaluated BLE 6.0 distance estimation techniques (RSSI, PBR, RTT) against UWB (DS-TWR) technologies. This project utilized TinyML on data collected from a Nordic nRF54L15 Dev Kit for edge AI applications.
Developed a modular hospital ward planner utilizing the Vulkan framework. The project involved implementing vertex and fragment shaders, allowing for asset placement and rotation across multiple camera views.
Cháksu: A Glaucoma-specific Fundus Image Database, Scientific Data (Nature), 2023.
Automated Optic Disc Segmentation Using Basis-Splines-based Active Contour, IEEE Access, 2022.
Automated Segmentation of Common Carotid Artery in Ultrasound Images, IEEE Access, 2022.
A Unified Approach for Automated Segmentation of Pupil and Iris in On-axis Images, Computer Methods and Programs in Biomedicine, 2022.
RaPiD: A Raspberry Pi-based Optical Fundoscope, ISSS Journal of Micro and Smart Systems, 2022.
Automatic Segmentation of Fovea and Macula in Retinal Fundus Images, IEEE TENCON, 2022.
Automatic Optic Cup Segmentation Using Affine Snakes in Gradient Vector Field, IEEE INDICON, 2023.
Segmentation of Left Ventricle in Cardiac MR Images, arXiv, 2022.