I’m Maximiliano Lombardia, a Software-to-AI Engineer from Argentina with a strong interest in AI, complex problem-solving, and projects that mix technology with real-world systems.
I enjoy challenges where technical depth, analytical thinking, and human-centered design meet.
- 🚀 Tackling technical and interdisciplinary challenges
- 🧩 Exploring problems that mix engineering + reasoning + creativity
- 🧠 Growing in Machine Learning, Deep Learning, NLP, CV, and MLOps
- 🛠 Building things that are solid, useful, and well-engineered
- 🤝 Communicating clearly across teams and domains
- Backend engineering, APIs, and system design
- Clean architecture, testing, CI/CD
- Distributed systems thinking and scalable patterns
- Practical experience in:
- NLP (sentiment/emotion processing, text pipelines)
- ML experimentation and model evaluation
- Time series & data manipulation (Pandas, NumPy)
- Currently deepening:
- Deep Learning & Reinforcement Learning
- Vision models & signal analysis
- Deployment / MLOps foundations
A lightweight ML app to re-enact a ML pipeline (and understand Air Quality).
Stack: Python, XGBoost, Github Actions, Hopsworks
🔗 https://github.com/mlombardia/aqi-prediction
Your next supermarket shop will be QUITE different.
Stack: Python, WebScraping(for sure), ML (maybe)
🔗 https://github.com/mlombardia/?????
Something cool... I guess. That's all I can say.
Stack: Python, RL(maybe?)
🔗 https://github.com/mlombardia/?????
You’ll also find several repos where I explore:
- Algorithms
- Java fundamentals
- Logic, signals, and systems
- College coursework & exercises
All of them reflect my interest in continuous learning and strengthening the foundations behind advanced systems.
- Deep Learning fundamentals (CNNs, transformers, optimization)
- Reinforcement Learning for simulations and agents
- AI + complex systems (finance, health, decision processes)
- MLOps practices, pipelines, experiment tracking
I’m always open to discussing:
- AI and ML ideas
- Software engineering best practices
- Projects that blend technology with other disciplines
- Research, simulations, or complex modelling challenges
📫 Reach me here on GitHub or LinkedIn.