IELTS 7.5/9

Bachelor's degree

Master's degree

AI/ML Engineer & Data Scientist (II) - Cisco ML Engineering

Designed and implemented part of the machine learning and algorithmic core for Cisco's next-generation network assurance, Cisco AI Network Analytics.

Most of my work was in anomaly detection, issues aggregation, root cause analysis on network data. UX and model interpretability have also been important concerns and areas of work.

Developed various development and productivity tools for the team such as visualization tools, machine learning, and data processing pipeline infrastructure and data management tools.

Filed 10+ patents.

AI/ML Engineer & Data Scientist (III) - Cisco AI/ML Innovation

My role is to design and develop technologies that then result in key data-driven products of the Cisco portfolio. The innovation I work on relies on what is currently one of the largest repositories of network telemetries in the world.

My work goes all the way from inception up to the completion of early field trials and first customer shipments, ensuring in the process that all key innovations are protected by means of patents.

Senior AI/ML Engineer & Data Scientist - Cisco AI/ML Innovation

Working on the future of the Internet in a stealth internal startup of nearly 30 engineers. We leverage Cisco's unparalleled visibility of the Internet to deliver predictive application-driven networking technologies.

Technical Leader (SWE, DS, AI & ML) - Cisco AI/ML Innovation

Pioneering ai-UX beyond the edge of what's possible

UX-bender

Co-authored the script of the class with both high level and in depth explanations of the presented algorithms, motivations to the problems and comments on the explained solutions.

Prepared and given lectures on topic complementary to the course together with in-depth explanations of topics explained during the main classes.

Design and explanation of exercises in class.

Teaching Assistant & Course Script Author - Statistical Learning Theory

Main project : deep metric learning for matching with domain adaptation problems; developing custom Caffe layers together with tools (visualisation and quantitative measures) specific for the embeddings analysis.

Secondary projects :
- study of state of the art architectures' performance for specific problems;
- study on the relationship between dataset size and generalisation capability;
- multi-class and multi-label problem with conversion techniques from one framework to the other one, development of framework to asses the generalised problem.

R&D Internship - Deep Learning for Image Analysis

I am responsible for the preparation of a part of the tutorial calsses desining the contents and the presentation. I am also have to define and design the projects for the course.
A minor, but extrimely stimulating part of the job is to give one-to-one lessons to students eager to deepen the thoery, both in person and by email.

Teaching Assistant - Machine Learning

In  this  thesis, we look at the problem of instance retrieval for fashion products. More specifically, given an image patch picturing a fashion product worn in the real world, the exact same product image or a very similar looking one should be retrieved from a database of shop products. This implies two problems.  First, an embedding space is needed, where semantically similar products lie close to each other and second, a domain adaptation function is required, that maps products from the real world domain, to the shop product domain.

In the scope of this thesis, we approach the two problems with deep metric learning. In a first step, we analyse existing loss functions for deep metric learning by interpreting them in terms of attractive-repulsive forces and then extending them from triplets to quadruplets. Additionally, we collected and cleaned a novel data set consisting of 50’257 product pairs, to introduce a complementary data set to the available academic ones.

Finally, the di

Master Thesis

Time is the one commodity you cannot buy, only optimize for. We build technologies to enable anyone to master their most valuable resource.

We are hiring, if you are in software, design, marketing, and growth, you have a kink for big challenges, and you have the ambition to join a high-potential early-stage company to drive impact on the workflows of thousands of professionals around the world, DM now.

CEO & co-founder

Pioneering the very edge of UX with agents

productHunt

Know about David Tedaldi's work experience, education, bootcamps, certifications, and much more. David Tedaldi