About Me
I am a Machine Learning Engineer and Data Scientist with hands-on experience applying deep learning to healthcare, biomedical, and scientific datasets. Currently, I work at UMBC’s Division of Information Technology, where I build real-time transcription and visualization pipelines using Linux, SQL, Python, LLMs, and cloud infrastructure.
I’ve built multimodal AI systems, large-scale SQL and PySpark pipelines, and HPC-trained models for dementia analytics, pulmonary forecasting, AI cancer classification, and proton radiotherapy image enhancement. I am proficient in Python, NumPy, Pandas, scikit-learn, and PyTorch, with extensive experience developing end-to-end analytics and ML workflows.
Research Interests
- Healthcare AI: Multimodal systems for dementia classification, pulmonary forecasting, and cancer detection
- Deep Learning: CNNs, Transformers, LSTMs for time-series and image data
- Large-Scale Data Systems: Building and maintaining 10TB+ databases, SQL/PySpark pipelines
- MLOps: Real-time data drift monitoring and automated model retraining
- GenAI & LLMs: Reproducible data pipelines and AI-powered applications
Education
- M.S. in Computer Science (GPA: 3.6/4.0), University of Maryland, Baltimore County — May 2025
- B.S. in Computer Science, American University — May 2023
Technical Skills
| Category | Technologies |
|---|---|
| Programming | Python, SQL, C++, Git, Docker, REST APIs |
| ML/DL Frameworks | PyTorch, Keras, Scikit-Learn, TensorFlow, PySpark |
| Specializations | CNNs, Transformers, Object Detection, Segmentation, Depth Estimation, NeRFs |
| Cloud & Infrastructure | AWS, Linux, Pandas, NumPy |
| Languages | English, Spanish, French (Fluent) |
Recent Highlights
- 📄 4 peer-reviewed IEEE publications in machine learning
- 🏥 Built multimodal AI systems integrating audio and text for dementia classification
- 🔬 Developed scalable NASA imagery pipelines improving cloud classification by 20%
- 💾 Architected and maintained a 10TB SQL database for AI cancer classification research
- 🎯 Created real-time MLOps data drift monitoring systems with auto-retraining
Feel free to explore my publications and portfolio to learn more about my work, or download my CV.