Matej Kloska，布拉迪斯拉发开发商，布拉迪斯拉发地区，斯洛伐克
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Matej Kloska

Verified Expert  in Engineering

Machine Learning Developer

Location
Bratislava, Bratislava Region, Slovakia
Toptal Member Since
July 8, 2016

Matej拥有超过10年的后端应用开发经验. 他在信息学领域获得博士学位，专注于时间序列和异常检测. He is passionate about reusable, testable, 代码整洁，在面向微服务的整洁架构和面向容器的基础设施(专注于Kubernetes)方面有经验. 他作为开发人员、数据工程师以及后来的CTO拥有丰富的实践经验. Matej loves back-end and machine-learning challenges.

Machine LearningTime SeriesArtificial Intelligence (AI)Unit TestingSQLPythonAdWords APIDjangoPostgreSQLGoogle Kubernetes Engine (GKE)gRPCData AnalysisDistributed SystemsData EngineeringMySQL

Portfolio

Kempelen Institute of Intelligent Technologies
Python, NumPy, Pandas，木星，时间序列，异常检测...
Freelance Clients
Python, Django, Flask, Celery, RabbitMQ, Amazon Simple Queue Service (SQS)...
Faculty of Informatics and Information Technologies
机器学习，大数据，R语言，Python, NumPy，数据科学...

Experience

Python - 7 yearsDjango - 6 yearsGo - 5 yearsMicroservices Architecture - 5 yearsMachine Learning - 5 yearsTime Series - 5 yearsPostgreSQL - 4 yearsKubernetes - 2 years

Availability

Part-time

Preferred Environment

Docker, Git, Vim Text Editor, Visual Studio Code (VS Code)， MacOS, Kubernetes

The most amazing...

...我编写的东西是一个定制的RTB平台，它有一个完全可定制的个性化广告服务器，我的博士论文是关于时间序列异常检测领域的.

Work Experience

Research Engineer

2021 - PRESENT
Kempelen Institute of Intelligent Technologies
  • 应用各种智能时间序列分析方法.
  • 开发了一个应用程序异常检测在电力消耗时间序列.
  • Published a research paper related to anomaly detection.
Technologies: Python, NumPy, Pandas，木星，时间序列，异常检测, Time Series Analysis, Research, Containerization, Machine Learning, PyTorch, Machine Learning Operations (MLOps), Predictive Modeling, Trend Analysis, CI/CD Pipelines, DevOps, Continuous Integration (CI), Continuous Delivery (CD), Data Analysis, Unit Testing

Senior Engineer

2019 - PRESENT
Freelance Clients
  • 面对与性能和可伸缩性问题相关的挑战性任务.
  • Acted as the leader of the back-end team. Managed both the technical aspects and team dynamics. 参与平衡当前挑战和长期目标，以实现高效和持续的增长.
  • Focused on building up DevOps principles and automation, 旨在无缝集成开发和运营.
Technologies: Python, Django, Flask, Celery, RabbitMQ, Amazon Simple Queue Service (SQS), Amazon EKS, ECS, Amazon RDS, PostgreSQL, HTML Templates, Containerization, FastAPI, SQLAlchemy, Amazon Web Services (AWS), Django REST Framework, REST, CI/CD Pipelines, DevOps, Continuous Integration (CI), Continuous Delivery (CD), Unit Testing

Researcher

2019 - 2020
Faculty of Informatics and Information Technologies
  • 研究了数据流中的异常检测方法和技术.
  • 预处理了一个大型(数百gb)的家庭能源消耗数据集，用于进一步的实验.
  • Assisted in data structures and algorithms courses. Taught two courses, each with 15 students.
Technologies: 机器学习，大数据，R语言，Python, NumPy，数据科学, Time Series Analysis, Artificial Intelligence (AI), Data Analysis

CTO

2017 - 2019
Alvolia
  • 设计的微服务架构能够处理每秒200多万个请求(RPS).
  • 实现了新颖的竞标算法，有效的实时竞标，重点是正确的预算支出.
  • 设计了一个数据管道，负责处理大量数据，实现智能cookie的分割和定位.
  • Handled the integration process with SSP partners.
Technologies: DSP, Real-time Bidding (RTB), Cassandra, Google Cloud Storage, PostgreSQL, Jira, BigQuery, Google Cloud Platform (GCP), Kubernetes, Apache Kafka, Go, Object-oriented Design (OOD), Data Engineering, Architecture, SQL, Django REST Framework, REST, CI/CD Pipelines, DevOps, Continuous Integration (CI), Unit Testing

CTO

2011 - 2018
AdBOOST
  • 为数百万个广告和搜索关键字创建了可扩展的实时同步管道.
  • 作为一名全栈开发人员，主要关注后端.
  • 设计了一个基于kubernetes的微服务架构.
  • 完成业务目标并与客户沟通.
  • 实现了从本地基础设施到谷歌云平台的迁移.
Technologies: Google Ads API, Google Analytics API, PostgreSQL, AdWords API, Jira, Celery, Aerospike, Kubernetes, RabbitMQ, Redis, Django, Python, Object-oriented Design (OOD), Data Engineering, Architecture, SQL, Django REST Framework, REST, CI/CD Pipelines, DevOps, Continuous Integration (CI), Unit Testing

Teaching Assistant

2016 - 2017
Faculty of Informatics and Information Technologies
  • 辅助并行编程和数据库系统课程.
  • 为大学的学生团体提供动手编程课程.
  • 管理学生的作业，进行批改和评估.
  • Regularly mentored students and their term projects.
技术:数据库，SQL, NoSQL，时间序列分析

Researcher

2015 - 2016
Faculty of Informatics and Information Technologies
  • 支持学院内容和元数据系统COME2T.
  • 实现了从文档语料库中提取关键字的多种方法.
  • 构建了一个对用户友好的工具，便于比较类似的XML文件.
Technologies: Anomaly Detection, Redmine, JavaScript, Ruby on Rails (RoR), Ruby, Python, NumPy, Data Science, Time Series Analysis, Data Engineering, Data Analysis

Freelance Developer

2010 - 2015
Contractor
  • Created a custom Python-based CMS for the clients.
  • 处理各种客户的基本HTML/CSS工作，如小型网站和新闻通讯.
  • 为电子商务和公共部门的不同客户维护多个小型网站.
技术:PostgreSQL, MySQL, JavaScript, Django, Python，单元测试

AdBOOST

面向广告代理商和个人的智能多网络营销平台. AdBOOST帮助您的电子商务产品自动广告适当的规模(数以百万计的关键字和广告实时).

Alvolia

Alvolia作为SaaS DSP帮助广告商进行实时竞价活动. I made all the decisions regarding technology selection, architecture design and development, and critical modules of the system. 整个系统从头开始设计，并作为一个高RPS速率(200万RPS)的容错系统进行分发。.

COME2T

一个允许轻松管理所提供内容和用户创建注释的轻量级语义的系统, 哪些通常是由于基于web的应用程序的用户之间的隐性协作而创建的.

Asgardlogy

http://ieeexplore.ieee.org/abstract/document/7753377
In this work, 我通过提出和评估文档管理工具的基于图形的用户界面的增强，解决了支持高效的概念图创作以捕获文档语义的问题. 所提出的增强功能构成了我对促进文档语义创作的研究的第一阶段.

成果发表于第11届语义与社交媒体适应与个性化国际研讨会(SMAP).

Languages

SQL, Python, C, Go, Ruby, R, PHP, JavaScript

Frameworks

Django, gRPC, Flask, Gin-Gonic, Django REST框架，Ruby on Rails (RoR)， AngularJS

Libraries/APIs

AdWords API, Google Ads API, Google Analytics API, REST APIs, SQLAlchemy, TensorFlow, Facebook Marketing API, Facebook Ads API, Google AdWords, Bing API, NumPy, PySpark, Pandas, PyTorch

Tools

Google Kubernetes Engine (GKE), BigQuery, Celery, RabbitMQ, Grafana, Vim Text Editor, Git, Jira, Redmine, Google Analytics, Jupyter, Amazon Simple Queue Service (SQS), Amazon EKS

Paradigms

Unit Testing, Test-driven Development (TDD), Object-oriented Design (OOD), Behavior-driven Development (BDD), Microservices, Anomaly Detection, Microservices Architecture, Data Science, REST, DevOps, Continuous Integration (CI), Continuous Delivery (CD), Agile Software Development

Storage

PostgreSQL, Aerospike, MongoDB, Redis, MySQL, Google Cloud Storage, Google Cloud, ScyllaDB, NoSQL, Databases, Cassandra, Elasticsearch

Other

Machine Learning, Real-time Bidding (RTB), Time Series, Artificial Intelligence (AI), CI/CD Pipelines, Distributed Systems, DSP, Google Cloud Build, Data Engineering, Data Build Tool (dbt), Architecture, Forecasting, Containerization, FastAPI, Predictive Modeling, Trend Analysis, Data Analysis, Big Data, Analytics, DMP, Prometheus, Information Systems, Informatics, Time Series Analysis, Research, ECS, Amazon RDS, HTML Templates, Machine Learning Operations (MLOps)

Platforms

Docker, Kubernetes, Apache Kafka, MacOS, Google Cloud Platform (GCP), Zendesk, Visual Studio Code (VS Code), Amazon Web Services (AWS)

2017 - 2023

PhD in Informatics

Technical University of Košice - Košice, Slovakia

2014 - 2016

Master's Degree in Information Systems

斯洛伐克技术大学布拉迪斯拉发-布拉迪斯拉发，斯洛伐克

2011 - 2014

Bachelor's Degree in Informatics

斯洛伐克技术大学布拉迪斯拉发-布拉迪斯拉发，斯洛伐克

MAY 2018 - PRESENT

Executive Data Science

Johns Hopkins University | via Coursera

MAY 2018 - PRESENT

Machine Learning

Stanford University | via Coursera

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