Alexander – Python, React, AWS

A face analysis platform based on computer vision that can detect the customer's face, guide them through a series of steps to position their face in a specific way, take a photo and send it to an analysis system that processes the image and analyzes various skin imperfections. Based on the result, the app can recommend cosmetic products.

Alexander's responsibilities included the following:

• implemented a faster, more reliable version of the face analysis capture module;
• handled correctly all the differences between different browsers/devices regarding WASM / Tensorflow / Camera access / Image processing;
• handled performance issues;
• built a beauty consultant panel;
• transmitted to stakeholders the entire process.

A number of projects that are used to handle a wide range of public utilities, such as public transport information, public information systems for traffic, air pollution, citizen information hotline.

Alexander had such contributions:

• implemented internal tools for analysis and data management;
• worked on highly scalable backend applications designed to ingest huge amounts of data and expose it to citizens and third-party integrators;
• maintained backend applications with extremely high SLA requisites;
• integrated and maintained ETLs.

The project was a cloud gaming service. In exchange for a small monthly fee and a one-time payment for the streaming device (a mini-console that must be connected to the TV), users would get access to the "Netflix of video games". Users would be able to stream video games instead of running them locally, avoiding expensive gaming machines.

Among others, Alexander's tasks included, but were not limited to:

• implemented missing functionalities in the console;
• managed team plays with QA and stakeholders to make the launch-to-market possible.