9.5+
GPA (out of 10) with Academic Merit honors in the Electronics program
Hi! I'm
Ygor W. S. Moreira Lima
Software Engineer · AI Researcher · Radioamateur PU1YWS
I'm pursuing a Master's in Computer Science (Software Engineering) at Universidade Federal Fluminense (UFF), researching Agentic Artificial Intelligence for Software Engineering. I've led multidisciplinary teams on mission-critical systems. I love combining engineering rigor, innovation and leadership to solve complex real-world problems.
Background
A path that crosses electronics, software engineering and artificial intelligence.
15
years old when I responsibly disclosed CVE-2008-5063, acknowledged by NIST
3
degrees in computing and data science — with a master's on the way
M.Sc. in Computer Science (Software Engineering)
Research on Agentic Artificial Intelligence applied to Software Engineering.
Software Engineering & Data Science
Postgraduate degrees covering software architecture, processes, machine learning and data analysis.
B.Sc. in Computer Science
Foundations in algorithms, software development, databases and computing systems.
Research & Interests
The topics I study, build with and keep coming back to.
Agentic AI for Software Engineering
My master's research focus: autonomous, tool-using AI agents that help plan, write, test and maintain software.
Artificial Neural Networks
Deep learning models and their practical use, from theory to hands-on implementations with TensorFlow and scikit-learn.
Evolutionary Computation
Bio-inspired search and optimization techniques such as genetic algorithms.
Software Engineering
Designing reliable, maintainable systems — with the discipline of an engineer and the pragmatism of an operator.
Radar, Telecom & Electronic Warfare
Radar systems, telecommunications and electronic warfare, rooted in years of hands-on experience.
Electronics & SDR
Analog and digital electronics, instrumentation, and software defined radios — also on air as PU1YWS.
Skills & Stack
Tools and competencies I rely on day to day.
Languages & Tools
Data Science & AI
Engineering & Leadership
Teaching & Materials
Courses, tools and resources I've put together.
Introdução às Redes Neurais Artificiais
Lecture material and code for an introductory course on artificial neural networks.
Local Inference Calculator
A CLI tool for estimating LLM VRAM requirements. Supports FP32/FP16/INT8/INT4 quantization, 40+ GPUs (NVIDIA, AMD, Google Colab) and models from 7B to 180B parameters — no external dependencies, just Python 3.10+.
python main.py --context 4096 --only-runs quickly finds viable model × GPU combinations.
Solved Textbook Exercises
Worked solutions for classic books in Linear Algebra, Calculus, Analytic Geometry and Electronics.
Writing
Articles on data science, programming and electronics — in plain, easy-to-follow Portuguese.
Introdução às Redes Neurais Artificiais
A first look at artificial neural networks, from biological inspiration to the core calculations behind how they work.
Estrutura de Dados e Algoritmos: Fundamentos e Aplicações em Python
Foundational data structures and algorithms in Python, with complexity analysis for evaluating performance.
Algoritmos De Otimização Bioinspirados
A tour of nature-inspired optimization algorithms and their real-world applications, with practical Python implementations.