Machine Learning
Developing models, designing evaluations, and understanding failure modes.
- PyTorch
- TensorFlow / Keras
- Hugging Face
- Transformer pretraining
- SFT
- RLVR
- RAG
- Retrieval / reranking
- Evaluation
- Representation analysis
- Computer vision
About
I am an AI engineer and computational scientist based in Houston. I have spent my career close to both the data-generating problem and the model: first in biology and genomics, then across model development, evaluation, scientific software, and production AI systems.
I am most interested in work that requires understanding the problem, the data, the model, the evaluation, and the system around it. Biomedical science is an area of genuine depth for me, not a boundary on the kinds of engineering and research problems I take on.

Professional arc
Experience
2024–Present
Baylor College of Medicine
Model development, clinical sequence modeling, retrieval and ranking systems, computer vision, scientific software, and production engineering.
2023–2024
Baylor College of Medicine
RAG-based mentor discovery and analysis across more than 30 single-cell and bulk omics datasets in 10+ collaborations.
2020–2022
UTHealth / UTHSC Graduate School of Biomedical Sciences
Machine learning for viral genomics and single-cell studies of disease, including sequence models and trajectory analysis.
Capabilities
Developing models, designing evaluations, and understanding failure modes.
Working with biological data whose structure and provenance shape the model.
Building the data, service, and compute systems around models.
Education
2020–2022
2011–2015