PROJECT / 001Completed
C Machine Learning Library
MLC: matrices, regression, and feed-forward neural networks, implemented from scratch in C.
Explore project: C Machine Learning LibraryConceptual network · not training results
AI STUDENT / SOFTWARE BUILDER
Understanding.
Then building.
I’m Răzvan Neamțu. I explore the systems beneath the abstraction — and build things to understand them.
BENEATH THE ABSTRACTION
INPUTUNDERSTANDINGOUTPUT
01 / SELECTED WORK
Ideas, implemented.
A few things I’ve built
to see how they work.
PROJECT / 002
Grayscale Image Processing Library
GrayLib: grayscale image storage, filters, PGM files, and drawing primitives in C++17.
Explore project: Grayscale Image Processing LibraryGrayscale study · illustrative
PROJECT / 003
Huffman Encoder / Decoder
HuffZip: lossless file compression with a Huffman tree, bit packing, and a matching decoder.
Explore project: Huffman Encoder / DecoderBinary tree · illustrative
PROJECT / 004
Graph ADT & Algorithms
ADTGraph: a Python graph abstract data type with traversals, shortest paths, and structural algorithms.
Explore project: Graph ADT & AlgorithmsGraph traversal · illustrative
02 / A LITTLE CONTEXT
Curiosity, down
to the foundations.
I study Artificial Intelligence at Babeș-Bolyai University. I’m drawn to the place where mathematics, algorithms, and working software meet.
Using a library is useful. Building a small version myself helps me ask better questions. That’s why I often learn by implementing the underlying ideas — especially in machine learning and numerical computing.
I also enjoy finding clear, intuitive ways to explain what I’ve learned. Beyond the code, I’m interested in engineering environments where software meets real systems, from telemetry to performance optimization.
THINGS I KEEP COMING BACK TO
- Algorithms & data structures
- Mathematics
- Performance optimization
- Engineering systems
- Telemetry & motorsport technology
03 / NOW
Work in progress.
So am I.
- 01Developing stronger practical machine-learning skills
- 02Studying Artificial Intelligence at UBB
- 03Exploring applied ML and software engineering opportunities
04 / EDUCATION
A foundation to build on.
2025 — 2028
BSc Artificial Intelligence
Babeș-Bolyai University
Faculty of Mathematics and Computer Science
Cluj-Napoca, Romania
Expected graduation: 2028
- Algorithms & data structures
- Probability & statistics
- Machine learning
- Artificial intelligence
- Software engineering
05 / TOOLKIT
The tools behind the work.
Learning through use.
Languages
- C
- C++
- Python
- SQL
- Shell
- HTML
Tools & environments
- Git
- CMake
- Linux
ML & data
- NumPy
- pandas
- Machine learning
- Numerical computing
- Applied ML
06 / CONTACT
Good ideas start
with a conversation.
I’m interested in applied ML, software engineering opportunities, and thoughtful conversations about how things work.