About me
I’m a Ph.D. candidate in Machine Learning and Data Science, passionate about building intelligent and efficient solutions with real-world impact. My work involves developing AI-powered systems, such as the one I created for engineering drawings (Panelo), which achieves a 90% increase in metadata extraction efficiency. I’m also experienced in building secure web platforms and automating processes to streamline workflows.
My research focuses on trustworthy AI, specifically robust and interpretable time series analysis. I have a strong background in deep learning, with expertise in transformer networks, graph neural networks, and attention mechanisms. I’m committed to developing robust and reliable solutions for real-world applications.
News
- Our paper “HITS: Hierarchical Interpretable Time Series Classification via Multiple Instance Learning” has been accepted in IJCNN 2025
- Our paper “Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach” has been accepted in ADC 2024
Technical Stack
| Category | Tools & Technologies |
|---|---|
| Languages | Python, TypeScript / JavaScript, PHP, Bash, SQL |
| ML / DL | PyTorch, TensorFlow 2, scikit-learn, PyG, DGL, Hugging Face, Optuna |
| Web | Laravel (Jetstream & Filament), Node.js, Express, React, Tailwind CSS, Livewire, Blade |
| Data | Pandas, Polars, NumPy, Spark (PySpark), AWS Glue, Apache Parquet, Arrow |
| Cloud | AWS S3, EC2, RDS, Lambda, Glue, Athena, IAM, CloudWatch, Route 53 |
| DevOps | Docker, Docker Compose, Git, GitHub Actions, Terraform, Ansible |
| Databases | MySQL, PostgreSQL, DynamoDB, SQLite |
| Visualization | Matplotlib, Plotly, Superset, Metabase |
| OS / Platforms | Ubuntu, macOS, Windows |
| Testing & QA | PyTest, PHPUnit, Jest, Cypress |
| Other | LaTeX, Markdown, Jupyter, VS Code, PyCharm |
What I’m Looking For
I’m keen to bring my blend of research depth and production pragmatism to roles such as Machine Learning Engineer, Data Scientist, or Full-Stack / MLOps Engineer—especially where interpretability, reliability, and cloud scalability matter.
Let’s connect and explore how we can build intelligent, impactful solutions together!