Esko.ai revolutionizes the way businesses understand their customers by uncovering hidden root causes behind customer feedback. It integrates seamlessly with popular CRMs, automating both the collection and analysis of feedback, delivering deep, and often unexpected insights in just a few minutes.Imagine transforming even the simplest review on a cup of coffee from a ‘7/10’ to an insightful remark like “A bit cold, but tastes great”. Repeating for hundreds of customers and surfacing the most pressing insights.

Your AI designalyst

• Lead the Zeffi product design since it’s inception in 2016. Today Zeffi stands at 96% user recommendation rating, and 95% users say it’s easy to use.• Brand relaunch - 2019• Website redesign and relaunch - 2019Requirement analysis • Research • Feature map • User flows • Information architecture • Concept • Wireframes • Design system • Visual design • Handoff • Rapid prototyping

• Designed and implemented a feature prioritization framework that is now at core of our product development process.• Acting as the common channel between sales, customer success and tech teams.• Making and evolving the 3-year rolling product vision.

• Designed and developed an Android app as reporting client for Zeffi’s previous product, and looked over its iOS counterpart’s outsourcing.• Designed and developed an experimental Android app for exploring new product ideas, which are now part of the new product Zeffi.

• Served as company's pre-sales technical point of contact• Architected solutions to win clients including- Disney- Intuit- Retail Me Not- Lyft- Kabam- FitBit• Set up our newly opened office in the Valley.

Did the research, architecture, and set the groundwork for integrating a newly emerging open source mobile-app-testing framework, Appium, into company's platform.

As a part of a research project sponsored by Karelia CBC (http://www.kareliacbc.fi/en/), I was solely responsible for developing 5 mobile application stacks that benefit from crowd sourcing the data. The applications were to study to leverage crowd sourcing for environmental issues.• Indoor mapping and positioning for large public buildingsAs a part of thesis, this app was a prototype for indoor positioning for a multistore large public building using WiFi signals as the triangulation source. Contrary to general approach, the WiFi signal was not mapped manually, but crowdsourced by user's themselves. • Bin LocatorUsers crowdsourced public places with public trash cans and disposal facilities, marking the waste type that can be disposed there. All users can up or downvote an already marked place to vet it's credibility. • Price comparatorUsing the barcode reader to crowdsource the price of everyday products, from different stores. • Finding volunteers• Sports trackerGPS based sports tracker to track user's activity for different types of sports he does.