Mario Leone
AI Engineer | Data Scientist | Teacher
Experienced AI Engineer with a strong background in algorithmic trading systems, machine learning, and data-driven applications. I design and implement low-latency architectures and real-time dashboards powered by intelligent agents, combining C++ performance with Python-based AI models.
Work
AI Engineer · Data Scientist/Analyst · Full Stack Developer — Freelance
2019
- Architected and delivered end-to-end AI solutions for algorithmic and high-frequency trading.
- Designed and deployed AI-powered trading agents integrating reinforcement learning and deep neural networks.
- Built scalable real-time, low-latency data pipelines with ZeroMQ, Docker, and ClickHouse.
- Developed full stack applications and interactive financial dashboards (frontend React, backend Node.js/Express, SQL/NoSQL DB).
- Designed and implemented data pipelines, data cleaning, and preprocessing workflows for structured/unstructured datasets.
- Conducted advanced data analysis, building credit risk models, churn prediction systems, and time-series forecasting solutions.
- Integrated LLMs for financial analytics, risk assessment, sentiment analysis, and automated reporting.
- Implemented backtesting and simulation frameworks for systematic evaluation of trading strategies.
- Led multi-agent architectures combining C++ (performance) and Python (AI/ML).
- Optimized GPU workloads (CUDA, NVIDIA RTX, PyTorch/TensorFlow).
- Delivered consulting and training services on AI integration, ML pipelines, data science workflows, and full stack development best practices.
Data Analyst / Scientist — Freelance
2010
- Conducted statistical modeling and predictive analysis for financial and industrial sectors.
- Developed credit risk models, churn prediction systems, and time-series forecasting solutions.
- Designed and deployed machine learning workflows from preprocessing to production.
- Managed ETL pipelines and large-scale datasets ensuring quality and reproducibility.
- Collaborated with cross-functional teams to integrate AI-driven dashboards and decision support tools.
Teacher (Mathematics & Physics) — Public & Private Schools (IT/CH)
2013
- Taught high school Mathematics and Physics in Italy and Switzerland.
- Designed curricula bridging math, physics, and computer science with real-world applications.
- Prepared students for university-level STEM pathways.
- Developed digital resources and interactive materials using LaTeX, Zoom, and GitHub.
Education
M.Sc., Astrophysics
B.Sc., Astrophysics
Diploma, Swiss Maturity Diploma
Skills
C++, Python, TypeScript, JavaScript, R, MATLAB, SQL, C
PyTorch, TensorFlow, Scikit-learn, Hugging Face, Deep Learning, Reinforcement Learning, Financial ML
ETL pipelines, Data Cleaning, Data Mining, Structured & Unstructured Data, ClickHouse, ZeroMQ
Tableau, Power BI, Data Storytelling, Advanced Excel
AWS, Azure, Docker, Kubernetes, Jenkins, Git, GitHub Actions, Linux (Arch)
Ollama, Text-Generation-WebUI, Bash, WordPress, Adobe Illustrator, Photoshop
Languages
- Italian — Native
- English — Fluent
- French — Intermediate
- German — Basic
Projects
- MultiAgentHFT: Multi-agent system for high-frequency trading
- FinLLM: LLMs for financial analytics
- Predictive Analytics - ML: Predictive Analytics with Machine Learning