I am an M.Sc. Computer Science student interested in machine learning, data analytics, human-computer interaction, and software engineering. I enjoy turning academic concepts into practical, documented, and testable projects.
A PyTorch-based BiLSTM system for classifying time-ordered automotive sensor sequences, using leakage-aware temporal splitting and holdout evaluation.
A bilingual community platform prototype that supports local repair, reuse, sharing, and sustainability initiatives.
A tested Python toolkit demonstrating PCY frequent-pair mining, MinHash similarity, spectral graph partitioning, centrality, PageRank, and Neo4j queries.
An interactive prototype exploring how aviation weather information can be presented through visual and auditory feedback.
A Python engineering toolkit for Nyquist-rate analysis, aliasing visualization, and reproducible ADC candidate ranking.
A requirements-engineering project featuring automated quality checks, traceability analysis, verification cases, and behavioral models.
- Machine learning and sequence classification
- Python development and automated testing
- Data and graph analytics
- Human-computer interaction
- Requirements and software engineering
- Signal processing and technical visualization
Python 路 PyTorch 路 pandas 路 NumPy 路 NetworkX 路 Matplotlib 路 pytest 路 Neo4j 路 HTML 路 CSS 路 JavaScript 路 Git
I am expanding my portfolio through reproducible software projects and exploring opportunities to apply my skills in working-student, internship, and research roles.