Some courses and other projects

These are selected advanced courses and academic projects where I performed well and built practical software solutions. Repositories are private because they contain course solutions or lab material, but I can provide access on request.

• Applied Machine Learning - Covered fundamental machine learning concepts such as (un)/supervised learning, regression and classification, probabilistic modeling, gradient descent, model selection, cross-validation, kernel methods, random forests, ensemble methods, and neural network architectures. Practical assignments involved preparing data, training models, evaluating results and fine-tuning model performance.

• Database technology - exhaustive course of databases including theory like normalization, design, modelling, query optimization, NoSQL. Labs delved into SQL and project built a warehouse management system with REST API
  

• Computer Security - Labs and projects covering secure software development, access control, vulnerability mitigation and system security. Practical work included implementing access management concepts, fixing code against vulnerabilities such as use-after-free and buffer overflows, and building an attribute-based access control system simulating hospital software.
  

• Language technology - Covered core natural language processing methods, including regular expressions, finite automata, tokenization, corpus processing, frequency analysis, collocations, morphology, part-of-speech tagging, syntactic parsing, dependency parsing, semantic parsing, discourse/dialogue analysis, information extraction and evaluation using real-world language data. The course also involved statistical and machine learning techniques for text analysis.