Hi, I'm Stefano Ivancich. I'm a Software Engineer at Uber, Ex Amazon and MSc Computer Engineering student curious about new technologies. Spending my free time in the development of Machine Learning projects, Android apps, Back-end infrastructures and studying business skills.
Main modules: Big Data Computing, Machine Learning, Advanced Algorithms, Operation Research, Enterpreneurship, Finance, Strategic Enterprise Management, ...
Main projects:
Project 1: End-to-end architecture for Key word spotting
Project 2: AI for Fake News Detection in Social Networks
Project 3: eCommerce and Dashboard for IoT sensors
Project 4: Mathematical Optimization of the Traveling Salesman Problem
Main works:
Paper 1: Network Alignment for Bioinformatics
Paper 2: Overview of the CoAP protocol for IoT.
Paper 3: Lecture notes for the Bioinformatics course.
Paper 4: Lecture notes for the Big Data course.
Paper 5: Lecture notes for the Innovation, Enterpreneurship & Finance course.
Paper 6: Lecture notes for the Strategic Enterprise Management course.
Paper 7: Lecture notes for the Artificial Intelligence course.
Paper 8: Lecture notes for the Web Application course.
Paper 9: Lecture notes for the Automata course.
Paper 10: Lecture notes for the Machine Learning course.
Main courses: Artificial Intelligence, Database design, Data structures & algorithms, Operative Systems, Project Management, Computer architecture, Control Theory, Circuit theory, Linear Algebra, Mathematical Analysis, Physics 1 & 2 ...
Thesis: Alzheimer prediction with DeepLearning.
Main projects:
Project 1: Database design for an home renting system.
Project 2: Android app for drugs assumption reminder.
Main works:
Paper 1: Fake news detection study made for AI course.
Paper 2: Lecture notes for the Operative Systems course.
Paper 3: Lecture notes for the Database Design course.
Paper 4: Lecture notes for the Project Management course.
Paper 5: Lecture notes for the Embedded Systems course.
Paper 6: Lecture notes for the Computer Networks course.
Paper 7: Lecture notes for the AI basics course.
Paper 8: Lecture notes for the Discrete Calculus course.
Paper 9: Lecture notes for the Probability course.
Paper 10: Lecture notes for the Electronics course.
Paper 11: Lecture notes for the Economy & Management course.
Paper 12: Lecture notes for the DeepLearning course.
Digital & Analogic Electronics, Electronic design, Systems and controls, Math, Physics, Italian history & literature.
Thesis: Forest fires detection with IoT sensors.
- Developed and maintained the payment experience and checkout backend systems, ensuring seamless and secure transactions for over 25 million payments per day.
- Developed new service that handles checkout with 2-factor-authentication payments
- Developed a dashboard to monitor payment methods adopted by users/country/line of business helping leadership making smarter business decisions.
- Improved error messages for payment failures.
- Worked for the Lookout for Metrics web service that automatically detect anomalies in metrics and identify their root cause.
- Integrated monitoring and observabilityto an existing machine learning pipeline to simplifying debugging.
- Worked on a proof of concept for a system that recommends where to place advertisements inside videos.
Developed algorithms for Alzheimer diagnosis on 3D MRI (Magnetic Resonance Images), by implementing CNNs in a new way, leading to 75% accuracy.
Thesis: Alzheimer prediction with DeepLearning.
Android development, Electronic design, SoldiWorks 3D Design.
Main project 1: Access Control, for attendance recording.
Main project 2: Android app that interfaces with devices for detecting the position of trucks.
