05/28/2023 updated

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Full-stack developer with over nine years of experience

Pardubice, Czech Republic
Czech Republic
MSc. Artificial Inteligence
Pardubice, Czech Republic
Czech Republic
MSc. Artificial Inteligence

Profile attachments

CV_short.pdf

JavaScriptArtificial IntelligenceBig DataData MiningPython (Programming Language)Node.jsTypeScriptReact.jsMicroservices
Over my entire career (9 years), I have developed various successful applications ranging from a successful mobile game (Gamee), a considerable price management application for big commerce (Ahold),  data mining from big data (including data of big Czech pharmacy company - Pilulka), application for assessing the risk using AI and application for detailed monitoring each package using microservices and Azure for the largest logistics company (DHL). With all those (also many of them not mentioned) applications, I assess various experiences.

Experience

Professional experience5 - 10 years
Freelancer since2017

Languages

EnglishFluentFrenchBasic knowledgeCzechNative speaker

Project history

Backend developer

Bighub

Transport & Logistics

10-50 team member

I have developed an application to detail the monitoring of packages during transport for the biggest logistics company (DHL). Application has been prepared for high load using microservice pattern and Azure with dynamic resources. Applications have been developed in Kotlin using the Quarkus framework. Also, I have used the Dapr tool to deliver platform independence for the encapsulation of each resource. I have developed front-end applications for user management with React.js.

Backend and Machine Learning developer

Bighub

Transport & Logistics

10-50 team member

I have developed application that assess the risk of IT systems for DHL. I have used Monte Carlo simulation and Python to assess the possible risk with developing a proposed IT system. For building API to distribute results, I have used Node.js and its framework Nest.js. The API has been consumed in ServiceNow on the DHL side.

Machine Learning Engineer

Cloudaper

Telecommunications

< 10 team member

Cluster underlying big data into categories (invoice, letter, etc.). The data consisted of stored scanned documents of big clients like big Czech pharmacy distributor Pilulkua. I have used Python language and its libraries to cluster data into categories. Also, this developed model has been used to suggest a folder in the document management app (main company product.) when a user has uploaded a new document.

Backend developer

Etnetera

Goods & Retail

50-250 team member

Develop an application for a big commerce client (Ahold) for price definition across its supermarkets using web management applications and AI to predict the best prices for each product.

Certificates

IBM Developer Skills Network - Data Analysis with Python

Cognitiveclass

2020

IBM Developer Skills Network - Data Analysis with Python

DeepLearning.TV

2020


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