Mario Leone

Mario Leone

AI Engineer & Full stack developer

Lugano, Switzerland

Experienced AI Engineer with a strong background in algorithmic trading systems and machine learning applications.

I design and implement low-latency architectures and real-time dashboards powered by intelligent trading agents. By combining C++ performance with Python-based AI models, I build solutions that enhance execution speed and decision-making in high-frequency trading environments. Beyond trading, my expertise extends to developing scalable AI systems and data-driven applications across financial and industrial domains.

Additionally, I work as a full-stack developer building production-ready web applications and APIs. I design end-to-end solutions that pair performant backends with intuitive frontends and reliable databases. Typical technologies I use include Laravel and Node.js for back-ends, MySQL/PostgreSQL for storage, Redis for caching and queues, Vue.js/React for front-ends, and Docker + CI/CD for deployments.

Skills

Programming Languages

Advanced proficiency in C++, Python, and TypeScript, with additional experience in R, MATLAB, and SQL, applied across both academic research and financial/industrial contexts.

Artificial Intelligence / Machine Learning

Expertise in Large Language Models (LLMs), Deep Learning, and Financial Machine Learning, with proven applications in:

  • Intelligent trading agents for HFT dashboards
  • Customer churn prediction
  • Credit risk modeling
  • Time-series forecasting
  • Advanced data analysis and decision support

Systems & Infrastructure

Specialized in high-performance architectures and real-time data processing pipelines, ensuring low-latency execution, scalability, and production reliability.

Tools & Frameworks

Extensive hands-on experience with TensorFlow, PyTorch, Scikit-learn, and Pandas for AI development.

Proficient with Docker, Kubernetes, Jenkins, AWS, and Azure for cloud-native deployment and orchestration.

Professional Strengths

  • Strong problem-solving and analytical mindset
  • Ability to translate business requirements into technical solutions
  • Solid background in quantitative analysis and project management
  • Clear and effective communication in cross-functional teams

Full-stack Developer

In addition to AI and low-latency systems, I work as a full-stack developer building robust web applications and APIs. I design end-to-end solutions that combine performant backends, reliable databases, and intuitive frontends. My typical stack includes Laravel (PHP), Node.js, SQL databases (MySQL/PostgreSQL), RESTful and GraphQL APIs, and modern front-end frameworks such as Vue.js or React. I deploy services using Docker and CI/CD pipelines, with monitoring and observability to ensure production reliability.

🚀 Current Project Highlight (in development)

  • High-Frequency Trading Dashboard with Intelligent Agents
    Developing a next-generation real-time trading dashboard that integrates:
    • C++/Python low-latency pipelines
    • Agent-based architecture for market prediction, communication, and execution
    • AI/ML modules (LLMs, deep learning, financial ML) for adaptive strategies
    • Scalable backend with Docker, Kubernetes, and ClickHouse for real-time data storage and analytics

This project bridges cutting-edge AI with HFT infrastructure, aiming to deliver both speed and intelligence in financial decision-making.

📚 Online Tutoring Booking Dashboard (in development)

Building an online booking dashboard for a tutoring service with focus on reliability, usability and scalability. Core features and stack:

  • Tech stack: Laravel (PHP 8.x), MySQL/PostgreSQL, Redis (caching/queues), Vue.js (or React) for the frontend, Tailwind CSS, Docker, Nginx, Let’s Encrypt, Stripe for payments.
  • Key features:
    • Real-time availability calendar and multi-timezone scheduling
    • Booking management for tutors and students, rescheduling and cancellations
    • Secure user authentication, role-based access (admins, tutors, students)
    • Online payments, invoices and refund handling via Stripe
    • Email/SMS/push notifications and reminders (Celery-like queues via Redis)
    • Admin dashboard with analytics: bookings, revenue, tutor utilization
    • Lesson materials, session notes and attachments
    • Tests, CI/CD pipelines, containerized deployments and monitoring (Prometheus/Grafana)
  • Goals: provide a polished UX for students, an efficient management interface for tutors, and a robust, production-ready backend able to scale with demand.