Tommaso Bianconcini - Data Scientist & Research Engineer

Tommaso Bianconcini - Data Scientist and Research Engineer specializing in AI, optimization algorithms, and vehicle routing problems

About Me

I’m a Data Scientist and Research Engineer at Verizon Connect in Florence, Italy, focused on optimization algorithms, vehicle routing problems, and AI applications including Large Language Models.

My research focuses on:

  • Optimization Theory: Cubic regularization algorithms and adaptive methods for unconstrained optimization
  • Vehicle Routing Problems: Novel algorithms and independent move-based approaches for large-scale logistics
  • AI & Computer Vision: Deep learning for crash detection, tailgating detection, and telematics data analysis
  • Large Language Models: LLM applications for enterprise solutions and intelligent systems
  • Applied Machine Learning: Real-time logistics management and automated 3D packing optimization

I hold a PhD in Computer Science from Università degli Studi di Firenze, where my thesis explored adaptive cubic regularization algorithms. My work bridges AI with real-world applications in fleet management and intelligent transportation systems.

Recent Work

My recent projects focus on:

  • LLM-powered applications
  • Multimodal crash detection using vehicular sensor data and video
  • Traffic light violation detection

Technical Skills

  • Programming: Python, C++
  • Machine Learning: PyTorch, TensorFlow, scikit-learn
  • Computer Vision: OpenCV, image processing, video analysis
  • Optimization: Mathematical optimization, vehicle routing algorithms
  • Tools & Frameworks: Git, Docker, Linux, cloud computing (AWS)

Feel free to explore my publications and resume to learn more about my work.