Matej Kloska
Verified Expert in Engineering
Python Developer
Bratislava, Bratislava Region, Slovakia
Toptal member since July 8, 2016
Matej is a software and AI architect with over 16 years of experience building resilient systems. Holding a PhD in informatics, he has a proven track record in software architecture, data engineering, and cloud-native microservices. Spanning roles from engineer to CTO, Matej specializes in AI/ML and complex system design, combining robust architecture with applied artificial intelligence.
Portfolio
Experience
- Python - 14 years
- PostgreSQL - 10 years
- Machine Learning - 5 years
- Data Science - 5 years
- Artificial Intelligence (AI) - 5 years
- Go - 5 years
- Architecture - 4 years
- Kubernetes - 4 years
Preferred Environment
Git, Kubernetes, Python, Pydantic AI
The most amazing...
...things I've built: PhD in AI, federated learning ML for fraud detection, full Kubernetes platform migration, and AI-driven code reviews.
Work Experience
Research Engineer
Kempelen Institute of Intelligent Technologies
- Applied various methods for intelligent time series analysis.
- Developed an application for anomaly detection in power consumption time series.
- Published a research paper related to anomaly detection.
- Implemented a federated learning-based ML model for fraud detection in financial transactions.
Senior Engineer
Freelance Clients
- Acted as the leader of the back-end, AI, and data teams. Managed both the technical aspects and team dynamics. Involved in balancing immediate challenges with long-term goals for efficient and sustained growth.
- Focused on building up DevOps principles and automation, aiming to seamlessly integrate development and operations.
- Implemented AI agents into day-to-day engineering workflows to boost efficiency through faster code reviews, automated incident troubleshooting, and platform oversight.
- Faced challenging tasks related to performance and scaling issues.
Researcher
Faculty of Informatics and Information Technologies
- Researched anomaly detection methods and techniques in data streams.
- Pre-processed a large (hundreds of gigabytes) dataset about household energy consumption for further experiments.
- Assisted in data structures and algorithms courses. Taught two courses, each with 15 students.
CTO
Alvolia
- Designed microservices architecture capable of handling 2+ million requests per second (RPS).
- Implemented novel bidding algorithms for effective real-time bidding with emphasis on correct budget spending.
- Designed a data pipeline responsible for processing large amounts of data for intelligent cookie segmentation and targeting.
- Handled the integration process with SSP partners.
CTO
AdBOOST
- Created a scalable synchronization pipeline for millions of ads and search keywords in real-time.
- Worked as a full-stack developer with a primary focus on the back end.
- Designed a Kubernetes-based microservice-oriented architecture.
- Worked on business goals and communication with customers.
- Realized migration from on-prem infrastructure to Google Cloud Platform.
Teaching Assistant
Faculty of Informatics and Information Technologies
- Assisted parallel programming and database systems courses.
- Provided hands-on coding sessions for groups of students at the university.
- Managed assignments for course students performing corrections and evaluations.
- Regularly mentored students and their term projects.
Researcher
Faculty of Informatics and Information Technologies
- Supported the faculty content and metadata system COME2T.
- Implemented multiple methods of keyword extraction from a corpus of documents.
- Built a UX-friendly tool for easy comparison of similar XML files.
Freelance Developer
Contractor
- Created a custom Python-based CMS for the clients.
- Handled basic HTML/CSS work for various clients such as small websites and newsletters.
- Maintained multiple small websites for various clients from the eCommerce and public sectors.
Experience
AdBOOST
Alvolia
COME2T
Asgardlogy
https://ieeexplore.ieee.org/abstract/document/7753377Achieved results were published in the 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP).
Education
PhD in Informatics
Technical University of Košice - Košice, Slovakia
Master's Degree in Information Systems
Slovak University of Technology at Bratislava - Bratislava, Slovakia
Bachelor's Degree in Informatics
Slovak University of Technology at Bratislava - Bratislava, Slovakia
Certifications
Executive Data Science
Johns Hopkins University | via Coursera
Machine Learning
Stanford University | via Coursera
Skills
Libraries/APIs
Google Ads API, XGBoost, Google Analytics API, REST APIs, SQLAlchemy, Scikit-learn, TensorFlow, Facebook Marketing API, Facebook Ads API, Bing API, NumPy, PySpark, Pandas, PyTorch
Tools
Google Kubernetes Engine (GKE), Git, BigQuery, Celery, RabbitMQ, Grafana, Pytest, Jira, Google Analytics, Amazon Simple Queue Service (SQS), Amazon EKS, GitHub
Languages
SQL, Go, Python, Python 3, C, Ruby, R, PHP, JavaScript
Frameworks
Django, gRPC, Flask, Gin-Gonic, Django REST Framework, Ruby on Rails (RoR), Streamlit
Paradigms
Unit Testing, Back-end Architecture, Test-driven Development (TDD), Object-oriented Design (OOD), Behavior-driven Development (BDD), Microservices, Anomaly Detection, Microservices Architecture, REST, DevOps, Continuous Integration (CI), Continuous Delivery (CD), Testing, Object-oriented Programming (OOP), Model Context Protocol (MCP), Agile Software Development, Automated Testing, Pair Programming
Storage
PostgreSQL, Aerospike, NoSQL, MongoDB, Redis, MySQL, Google Cloud Storage, Google Cloud, ScyllaDB, Databases, Cassandra, Elasticsearch, Cloud Deployment
Platforms
Docker, Kubernetes, Apache Kafka, Amazon Web Services (AWS), Google Cloud Platform (GCP), Google Ads, Jupyter Notebook
Other
Machine Learning, Real-time Bidding (RTB), Data Science, Time Series, Artificial Intelligence (AI), CI/CD Pipelines, Back-end, Back-end Development, API Integration, Software Architecture, 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, OpenAI, Technical Leadership, APIs, Orchestration, Data Analytics, SOC 2, LangChain, Prompt Engineering, Fractional CTO, System Architecture, Training Workshops, Fraud Detection, Pydantic AI, Big Data, Analytics, DMP, Prometheus, Information Systems, Informatics, Time Series Analysis, Research, ECS, Amazon RDS, HTML Templates, Large Language Models (LLMs), Natural Language Processing (NLP), CTO, OpenAI GPT-3 API, MLflow, Data Architecture, AI Agents, Federated Learning, Google ADK
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