About Me
Hi! I am a freelance software & machine learning engineer and a PhD student at the Czech Technical University in Prague. My main areas of focus are machine learning, deep learning, natural language processing, and AI safety, but I am also an experienced backend developer. My favorite technologies include Python, PyTorch, Hugging Face, LangChain, Elasticsearch, scikit-learn, UNIX, Kubernetes, Terraform, AWS, and Azure.
Contact and personal details
- Full name: Vojtěch Cahlík
- E-mail:
- Phone:
- Location: Prague, Czechia, EU
- LinkedIn: linkedin.com/in/cahlik
- ORCID: 0000-0002-4222-8746
- GitHub: github.com/vcahlik
- IČO (business identification number): 14128128
Professional Experience
- (2022-now) Freelance Software & Machine Learning Engineer
- Collaboration with CoolPeople, Recombee, LearnerOn, knowdroids.ai, and DataLab at FIT CTU in Prague on various machine learning pipelines, natural language processing and large language model applications, search services, and miscellaneous microservices and backends.
- Technologies: Python, TypeScript, Pandas, Tensorflow, Hugging Face, LangChain, Elasticsearch, Airflow, FastAPI, Django, SQL, Redis, GraphQL, Kubernetes, Terraform, AWS, Azure
- (2020-2021) Machine Learning Engineer, Ernst & Young, Prague
- Work on various data-related projects, e.g. machine learning pipelines for customer retention prediction, a human resources planning application, and a healthcare information system.
- Technologies: Python, Pandas, scikit-learn, LightGBM, Tensorflow, Django, SQL, Azure
- (2018) Data Scientist Intern, Datamole, Prague
- Gathering, preprocessing, and analysis of data from automated agricultural farms.
- Technologies: Python, Pandas, scikit-learn, matplotlib, Git, Azure
- (2016-2017) Junior C++ Developer, AEVI CZ, Prague
- Development of embedded applications for EFTPOS payment terminals.
- Technologies: C/C++, SVN, Lua
Research Interests
- Machine learning
- Deep learning
- Natural language processing
- AI Safety
- Explainable AI
- Reinforcement learning