🎓 Graduated with honors in the Master's Degree in Computer Science at the University of Trento, Italy. 🇮🇹
🔍As part of my academic path, I dived deep into Deep Learning and Computer Vision, where I developed a project with related peer-reviewed paper on an automatic system for evaluating the Squat correctness.
🌿 In my free time, I like to workout, read books and code some ideas of mine.
Here are some of the exciting projects I’ve been working on:
- Scholarship delivery DApp Contract-based: A DApp contract-based to handle awards delivery based on a ranking computed with some arbitrary criteria.
- Saving energy App based on IoT Data and ML Analytics: Designed and Developed end-to-end an Application to help people save money on energy consumption based on household appliances' data captured through MQTT protocol.
- Automatic system to assess Squat correctness: A comparative study between marker-based and vision-based camera systems to compute the correctness of the Squat movement, based on Human Skeleton joints.
- Optical Flow computation based on RAFT Network: Implemented optical flow computation for moving object segmentation, based on the deep neural network RAFT (Recurrent All-pairs Field Transform).
- Uno-like (the card game) C# WebApp : C# implementation of the entire Uno card game logic, including AI player.
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REPLY: Software Engineer (March 2024 – Today) 🏢
- Proposed and developed a solution to retrieve relevant information using LLM ReAct + RAG, improving response time by 31% and accuracy by 26% for an Insurance Company.
- Implemented and leveraged RAG tools, reducing query processing time by 62%, enhancing overall user experience.
- Developed a production-ready web application using Python Flask with microservices architecture and AngularJS frontend, ensuring a scalable and responsive design.
EURECAT - Centro Tecnológico de Cataluña: Data Science Intern (Nov. 2021 – May 2022) 🌍
- Conducted sentiment analysis and deep learning model training with TensorFlow and Keras, optimizing performance across multiple GPUs.
- Led large-scale data mining projects to extract key insights, guiding business decisions.
- Designed interactive dashboards to visualize insights from a 40.5 GB dataset, utilizing Dash, Plotly, and Nginx.
Feel free to reach out if you're looking for a Startup or Developer collaborator! I'm always happy to chat about technology, AI, politics and turtles!
- Email: [email protected]
- Linkedin: Paolo Aliprandi