CV
Education
University of Maryland, Baltimore County — Baltimore, MD
M.S. in Computer Science (GPA: 3.6/4.0) — May 2025
American University — Washington, DC
B.S. in Computer Science — May 2023
Work Experience
UMBC, Division of Information Technology — Baltimore, MD
General Associate | May 2025 – Present
- Lead the development of real-time transcription and visualization pipelines (Linux, SQL, Python, LLMs, AWS Redshift, Tableau, Power BI) to analyze classroom conversations and support research on effective classroom interactions
- Collaborated with cross-functional Agile teams to troubleshoot and optimize deployed AI solutions
UMBC, College of Engineering and Technology — Baltimore, MD
Graduate Research Assistant | August 2023 – May 2025
- Architected multimodal AI systems that integrated audio and text data through feature extraction, improving dementia classification accuracy
- Built and maintained a 10TB SQL database to improve AI cancer classification
- Collaborated weekly with cross-disciplinary teams to align technical solutions with research and business needs
- Documented technical processes to ensure reproducibility, accessibility, and compliance across research workflows
American University, Big Data Lab — Washington, D.C.
Undergraduate Research Assistant | September 2021 – May 2023
- Developed scalable pipelines using NASA imagery using Linux, Python, SQL, and Spark, improving NASA cloud classification by 20%
- Independently designed and implemented an LSTM model on medical signal data to predict lung recovery up to 8 hours in advance
- Built a real-time MLOps data drift monitoring system with Python, TensorFlow, and Spark to detect shifts in streaming data
Big Data REU, UMBC — Washington, D.C.
Intern | June 2021 – August 2021
- Optimized compact neural networks through hyperparameter search (C, Linux, Python), reducing parameters by 30% while maintaining accuracy
- Benchmarked model performance and created visualizations to communicate results to technical stakeholders
Skills
Programming Languages & Tools
Python, SQL, C++, Pandas, Git, Docker, REST APIs, Scikit-Learn, PyTorch, Keras, PySpark, AWS
Machine Learning & Modeling
Deep Learning, CNN, Transformers, Object Detection, Segmentation, SfM, Depth Estimation, NeRFs
Soft Skills
Agile Development, Technical Documentation, Cross-Functional Teamwork
Languages
English (Fluent), Spanish (Fluent), French (Fluent)
Publications
See the full Publications page for details on each paper.
- Distributed Concept Drift Detection for Efficient Model Adaptation with Big Data Streams (2023) — IEEE BigData
- LSTM-based Pulmonary Air Leak Forecasting for Chest Tube Management (2022) — IEEE BigData
- Imbalanced Multi-layer Cloud Classification with ABI and CloudSat/CALIPSO Data (2022) — IEEE BigData
- Hyperparameter Configurations for Neural Networks in Proton Radiotherapy (2021) — IEEE BigData