I am an seasoned and results-oriented R&D professional, with over 17 years experience. I have participated in and managed a large number of large-scale R&D projects, both commercial and academic, at the national and European levels. My main field of expertise is Quality of Experience (QoE), which deals with how users experience the services they use. QoE is a very multidisciplinary field, spanning several technical domains such as networks, media, cloud, and web, as well as human aspects, including business. I am also knowledgeable on a number of other topics, such as Data Analysis, Predictive Models, Network Performance (QoS), Network Function Virtualization (NFV), Software-defined Networks (SDN), and Network Management. Besides R&D activities, I also do software development, from prototyping to production. I am looking for a position that would both leverage my skills (SW engineering, system architecture, stream processing, data analysis / modeling, data pipelines, networking), and provide a challenge and an opportunity to learn new things, and push me outside my comfort zone. I am familiar with a number of technologies, tools and programming languages. In my daily work, I use mostly Clojure, Java, R, Julia, and Python, plus a variety of other tools (git, LaTeX, unix tools, etc.). I also have experience with other languages, such as Datalog, Ruby, Haskell, C, SQL. I have also worked with ML techniques (during my MSc and PhD work), using e.g, Random Neural Networks to model QoE. Besides the technical skills, I am comfortable interfacing with customers, and I have excellent writing and presentation skills.
I am responsible for the evolution of the quality-related aspects of callstats.io’s WebRTC monitoring platform. WebRTC is an inherently hard problem to solve from a QoE perspective, and at callstats.io we are currently pushing the envelope, finding ways to meaningfully estimate and present quality information to WebRTC service providers, so they can better understand and improve the performance of their platforms. I have been in charge of this project from inception to production, including the implementation of these features (in Clojure and Java) in our stream processing architecture. I also developed a sophisticated WebRTC testbed based on Mininet and Selenium (mostly coded in Python)
At EXFO, I worked on guiding the transition of its Service Assurance (SA) product line to virtualized environments. This work revolved around the virtualization of network probes and their associated support infrastructure, and their integration into NFV architectures, notably ETSI NFV MANO. There were also performance issues to be addressed, due to moving the probes from specialized hardware to a COTS-based cloud context.
I spent over ten years at VTT (first as a post-doc, then as a Senior Scientist, and later as a Principal Scientist). I was the lead for research in the QoE domain, and was active in other domains such as QoS measurement / monitoring. Besides the traditional work on quality assessment for media services, I have also worked on other aspects of QoE, most notably QoE management, and the business and economic aspects of QoE. Beyond my focus on QoE, I worked on Unified Communications (developing new mechanisms to manage presence), and Network Performance Monitoring (developing tools for e.g., passive QoS measurement, and vertical handover management).
In 2008, we started building a spin-off from VTT, aiming at developing a novel, avatar-based, teleconferencing system with high-quality VoIP and secure document sharing and storage as its key defining features. The company was founded in early 2009. I was responsible for the architecture of the system, as well as the voice and document sharing functionality, including implementation work.
Below is a short list of some of the projects I have worked on. For a full list, please refer to the Full CV link on the sidebar.