Matej Kloska
Verified Expert in Engineering
Machine Learning Developer
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.
Portfolio
Experience
Availability
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
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.
Senior Engineer
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.
Researcher
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.
CTO
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.
CTO
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.
Teaching Assistant
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.
Researcher
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.
Freelance Developer
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.
Experience
AdBOOST
Alvolia
COME2T
Asgardlogy
http://ieeexplore.ieee.org/abstract/document/7753377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).
Skills
Languages
SQL, Go, Python, C, Ruby, R, PHP, JavaScript, Java
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, Scikit-learn, TensorFlow, Facebook Marketing API, Facebook Ads API, Google AdWords, Bing API, NumPy, PySpark, Pandas, PyTorch
Tools
Google Kubernetes Engine (GKE), Git, BigQuery, Celery, RabbitMQ, Grafana, Pytest, Vim Text Editor, Jira, Redmine, Google Analytics, Jupyter, Amazon Simple Queue Service (SQS), Amazon EKS, GitHub
Paradigms
Unit Testing, Back-end Architecture, 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), Testing, Agile Software Development, Automated Testing
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, Back-end, Distributed Systems, DSP, Google Cloud Build, Data Engineering, Data Build Tool (dbt), Architecture, Forecasting, Containerization, FastAPI, Machine Learning Operations (MLOps), Predictive Modeling, Trend Analysis, Data Analysis, Technical Leadership, APIs, Big Data, Analytics, DMP, Prometheus, Information Systems, Informatics, Time Series Analysis, Research, ECS, Amazon RDS, HTML Templates, OpenAI, Large Language Models (LLMs), Natural Language Processing (NLP)
Platforms
Docker, Kubernetes, Apache Kafka, Amazon Web Services (AWS), MacOS, Google Cloud Platform (GCP), Zendesk, Visual Studio Code (VS Code)
Education
PhD in Informatics
Technical University of Košice - Košice, Slovakia
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
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
Certifications
Executive Data Science
Johns Hopkins University | via Coursera
Machine Learning
Stanford University | via Coursera
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