Pixalate is on a hiring spree across data science, engineering, product, customer success, and sales. In a new series of blogs, we introduce our prominent new team members who push Pixalate forward every day with their unique backgrounds, skills, and experience.
Let’s find out more about Ezequiel Donovan, Software Engineer, Compliance and Data Privacy, in his own words:
Pixalate: Where do you come from?
Ezequiel Donovan: I’m from Buenos Aires, Argentina. I moved to LA in 2014 in pursuit of a better higher education. I graduated from CSU Northridge with a BSc in Computer Science and a minor in Physics. I'm currently working on MSc in Computer Science with a specialization in Machine Learning at Georgia Institute of Technology.
During the last four years, I have been working as a full-stack engineer deploying custom information systems for a textile company based in LA, centralizing the company's key operations from products specifications/content/docs management to inventory.
About two years ago, I first dug into machine learning and found my passion in applied AI. I have been building frameworks to facilitate researchers investigating reinforcement, imitation, active learning, and population-based training for an AI startup and researchers in the biophysics domain for drug discovery.
Pixalate: Why did you join Pixalate?
Ezequiel Donovan: I was personally looking for new long-term challenges. I was given a chance to interview and meet a few of the employees and I instantly got engaged by the culture, the people and the problem the company is trying to solve so accepting the offer was a no brainer. I’m very excited for what’s coming.
Pixalate: How do you see the future of Pixalate?
Ezequiel Donovan: I see a great future for Pixalate. The world is experiencing a shift in consciousness with respect to internet privacy policies and regulations. This is very needed in this world of highly accessible IoT devices where data is collected almost everywhere, and where many of these transactions break compliances for accessing unauthorized information without the users’ consent. I believe in Pixalate’s goal of pushing towards a better world in terms of transparency in the domain - and that is very important as apps and developers must be accountable for what they do.
Pixalate is the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising. We work 24/7 to guard your reputation and grow your media value. Pixalate offers the only system of coordinated solutions across display, app, video, and OTT/CTV for better detection and elimination of ad fraud. Pixalate is an MRC-accredited service for the detection and filtration of sophisticated invalid traffic (SIVT) across desktop and mobile web, mobile in-app, and OTT/CTV advertising. www.pixalate.com
Disclaimer: The content of this page reflects Pixalate’s opinions with respect to the factors that Pixalate believes can be useful to the digital media industry. Any proprietary data shared is grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. Any references to outside sources should not be construed as endorsements. Pixalate’s opinions are just that - opinion, not facts or guarantees.
Per the MRC,
“'Fraud' is not intended to represent fraud as defined in various laws, statutes and ordinances or as conventionally used in U.S. Court or other
legal proceedings, but rather a custom definition strictly for advertising measurement purposes. Also per the MRC,
“‘Invalid Traffic’ is defined generally as traffic
that does not meet certain ad serving quality or completeness criteria, or otherwise does not represent legitimate ad traffic that should be included in measurement counts.
Among the reasons why ad traffic may be deemed invalid is it is a result of non-human traffic (spiders, bots, etc.), or activity designed to produce fraudulent traffic.”