Most of the time I work on my websites testing new theories in the Ad-Tech and researching new niches working with a lot of data. Some of the results are published in my blog. I planned, developed, and launched a web platform to connect clients worldwide who wants to buy furniture and home decor from trusted vendors in China in bulk. The project was designed to work with our partner warehouse ERP and sales team CRM. Part of the job was to understand and improve the entire business process of the parent company. In 2019 I pitched the project to Startup Lithuania and won Visa support. The platform is now discontinued. My language of choice is Python for the backend and to process data with scripts. Javascript for the client side. I prefer to use vanilla Javascript in most cases for simplicity and React.js if necessary. PostgreSQL is my choice of database for most cases.

I built software that was analyzing millions of comments on popular YouTube videos to understand viewers' reactions and get more details about the video. With this product, I graduated StartaAccelerator in New York. I made both the back-end and front-end. I also was doing sales and public pitching while was in New York. Technologies in the product: React.js/Redux, PostgreSQL for most of the data, and ElasticSearch to store and fast search in the comments. Python(Falcon framework) on the back end and python-rq for the jobs. Everything is working on the AWS. We also use AWS services for sentiment and entity analysis. Stripe as a payments provider. YouTube & G+ API.

I was a part of a team that developed the very first versions of the influencer marketing platform Captiv8.io.

As a Senior JavaScript developer, I worked closely with Java developers and QA to deliver features. Part of the team including the CTO was located in the UK, I left the company so early because I understood that small noisy open spaces are not my thing.

I was a part of a remote team (~10 software engineers) working on projects for a company that operated in the financial sector. Lots of charts and table data. My duties included writing new code and optimizing old, helping other less experienced team members. Lots of code was optimized critically. In some places from about 30> seconds to ~1second rendering in old browsers and slow machines.

I was primarily working on Po.st widget project and occasionally on other RadiumOne products. During my time at RadiumOne, I learned how online ad-tech works. Got experience in building data-driven products. Released two versions of sharing widgets with a platform used on tens of thousands of websites. Worked a lot with «Vanilla Javascript».

Building & supporting new modules for a web version of one of the products of Prognoz Platform(www.prognoz.com/products) — international software vendor delivering advanced analytics and visual discovery solutions. Mainly worked with "vanilla" Javascript.