Eldar Sadikov Email & Phone Number

Charlotte, Nc, Us

San Jose, Ca, Us

Field Materials is the world’s first material purchasing software powered by AI. General contractors and specialty subcontractors use Field Materials’ mobile and web apps to streamline their material procurement from requesting quotes during pre-construction to managing orders and deliveries to the construction site. The company is backed by Blumberg Capital, Zacua Ventures, and senior executives from companies like Lowe’s and Google.

San Mateo, California, Us

I led the team that was building Verkada's second product line: Access Control. In the short time frame I spent at Verkada, we’ve doubled the revenue run rate for our product line, doubled the engineering team (across firmware, server/cloud infrastructure, mobile/web), and hired/promoted managers for key teams.

San Jose, Ca, Us

- Ran Jetlore business managing engineering teams, product managers, sales, and customer success - Store Cash product launched in 2019 was adopted by 10K merchants within the first year- Our ML team took over PayPal personalization and our AI technology now powers all product and offer recommendations in PayPal properties- Developed the technical blueprint of Shopping platform to integrate Jetlore, Honey, and PayPal data- Played a key role in product and technology diligence for PayPal’s $4B acquisition of Honey

San Mateo, Ca, Us

- SaaS machine learning platform for e-commerce personalization and product recommendations acquired by PYPL in 2018- #12 Fastest Growing Company in the Bay Area by San Francisco Business Times in 2017 and 2016 Gartner Cool Vendor in Retail- Customers included eBay, Nordstrom, Home Depot, JCPenney, Williams & Sonoma, and Uniqlo with A/B tests showing strong uplift in conversations and revenue- Our cloud-based architecture (built on AWS using Scala, Spark, Kafka, Redis, Cassandra, MongoDB) has successfully scaled to tens of millions of API calls per day while maintaining 99.999% availability

Redmond, Washington, Us

In the context of web search ranking, our research showed that users exhibit “domain bias”: a person's propensity to believe that a page is more relevant just because it comes from a particular domain. Our work has had an impact on search engine design, ranking, and advertising.

Mountain View, Ca, Us

Developed an algorithm for clustering the refinements of a user search query based on the likely underlying user intents. The algorithm approximates user search behavior via multiple random walks on a Markov graph built from document click and session co-occurrence information. The work was recognized with an internal Google award and was integrated into Google's search ranking.

Cambridge, Ma, Us

- Designed and developed Java, C++, and C# applications for financial, automotive, and retail clients (real-time streaming audio encoder still in use by >1200 radio stations)- Promoted to a Sr. Software Engineer within the first year- Successfully managed projects as a technical lead- Led the effort to define the company's technical standards (code standards, documentation, testing, source control)

Boston, Ma, Us

Designed and developed Java and .NET applications for system integrations and legacy migrations across energy and hospitality clients

Ms, Computer Science

Ph.D. Candidate, Computer Science

B.S., Computer Science