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1dieci0/README.md

hey, I'm 1dieci0 👋

🎓 MSc Computer Science — Big Data 💻 Computer Science · Systems · Networking · Backend · AI · Security

I'm a computer science student who enjoys understanding how things work — and then building them from scratch.

My interests are somewhere between software engineering, systems, networking, cybersecurity and machine learning. I especially enjoy projects where the interesting part isn't just making something work, but figuring out why it works.

Computer Science
      │
      ├── Systems & Low-Level
      │   ├── C / Rust / Go
      │   ├── GDB / Ghidra
      │   └── Reverse Engineering
      │
      ├── Networking
      │   ├── TCP / UDP / QUIC
      │   ├── WebSockets
      │   └── Real-time systems
      │
      ├── Software Engineering
      │   ├── Backend
      │   ├── React / Node.js
      │   └── Docker / Git
      │
      └── Data & AI
          ├── Python
          ├── SQL
          └── PyTorch

🔧 Things I work with

Languages

Python C C++ Rust Go Java JavaScript TypeScript SQL

Backend & Web

Go Node.js React REST WebSockets SQLite

Systems & Networking

TCP UDP QUIC MQTT GDB Ghidra FFmpeg

Data & AI

Python PyTorch NumPy Pandas scikit-learn

Tools

Git Docker Linux

🚀 Some things I've built

A Discord-inspired real-time communication platform built from scratch.

React + TypeScript · Go · WebSockets · SQLite

Authentication, servers, channels, realtime messaging, direct messages, mentions, notifications and voice presence.

A low-latency screen streaming system built around Rust and QUIC.

Rust · QUIC · H.264 · FFmpeg · NVENC

Screen capture → hardware encoding → QUIC datagrams → frame reassembly → decoding.

The project explores things like packetization, keyframes, backpressure, frame dropping and the trade-off between latency and reliability.

A computer vision project using transfer learning to classify 200 bird species.

Python · PyTorch · ResNet-18

71.61% test accuracy on the CUB-200-2011 dataset.

🛡️ Security & CTF

I've participated in national cybersecurity training programs such as CyberChallenge.IT and Olicyber, and I'm part of the MadrHacks team.

I'm particularly interested in:

  • Reverse engineering
  • Binary analysis
  • Network security
  • Cryptography
  • Low-level programming

🎓 Education

MSc Computer Science — Big Data Currently pursuing

BSc Computer Science

Diploma in Computer Science


"What happens under the hood?"

That's usually where I start.

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