I’m Alessandro Sanvito, a Software Engineer at Optiver in Amsterdam, where I specialize in developing and optimizing high-performance, low-latency systems for mission-critical financial applications. My work combines advanced software engineering with real-time processing to create robust, scalable solutions.

1. Current Focus

At Optiver, I’m working on:

  • Developing and optimizing high-performance, low-latency C++ and Python systems
  • Collaborating with multidisciplinary teams on scalable, efficient software solutions
  • Gaining expertise in algorithm design and parallel computing
  • Working in latency-sensitive environments for real-time applications

2. Professional Experience

2.1. Software Engineer at Optiver

Amsterdam, Netherlands (August 2023 - Present)

  • Developing and optimizing high-performance, low-latency C++ and Python systems for mission-critical financial applications
  • Collaborating with multidisciplinary teams to implement scalable, efficient software solutions in latency-sensitive environments
  • Gaining expertise in algorithm design and parallel computing, relevant for real-time AI-driven applications

2.2. AI Research Intern at Mercedes-Benz (AI-SEE Project)

Stuttgart, Germany (May 2022 - June 2023)

  • Conducted cutting-edge research on 3D human avatar modeling from monocular video data
  • Designed and implemented generative neural models, including NeRFs and Diffusion Models
  • Collaborated with a cross-functional R&D team, resulting in a publication at ICCV
  • Leveraged skills in deep learning, 3D modeling, and generative AI

3. Education

3.1. MSc. in ICT Innovation, Data Science

KTH Royal Institute of Technology (Sept. 2020 - May 2023)

  • Final grade: A - Excellent
  • Implemented neural network architectures in NumPy (MLPs, Hopfield Networks, Deep Belief Networks)
  • Reproduced data mining-related papers in Python and Java

3.2. MSc. in Computer Science and Engineering

Polytechnic University of Milan (Sept. 2020 - Jul. 2023)

  • Final grade: 110/110 cum laude
  • Developed a winning ML solution for the RecSys Challenge 2021
  • Built a recommender system for a book catalogue with NumPy, SciPy, and Pandas

3.3. BSc. in Engineering of Computing Systems

Polytechnic University of Milan (Sept. 2017 - Jul. 2020)

  • Final grade: 109/110
  • Implemented a cardboard game in Java with extensive testing
  • Created a performance-oriented graph manipulation tool in C

4. Technical Skills

4.1. Programming & Development

  • C++ and Python for high-performance applications
  • Java development with testing frameworks (JUnit, Mockito)
  • Distributed systems and parallel computing
  • System architecture and optimization

4.2. AI & Machine Learning

  • Deep learning and neural networks
  • Computer vision and 3D modeling
  • Generative AI (NeRFs, Diffusion Models)
  • Data mining and recommender systems

4.3. Tools & Technologies

  • NumPy, SciPy, Pandas for data analysis
  • Dask, Catboost, XGBoost for machine learning
  • Version control and CI/CD
  • Testing and validation frameworks

5. Connect With Me

Interested in my professional journey? Check out my CV for a detailed overview of my experience and skills.

Let’s connect and explore how we can create something extraordinary together.