Machine Learning Engineer
AI Systems · Applied Research
Areas of work
Applied Machine Learning
Model development and evaluation with emphasis on robustness, generalization, and decision-relevant metrics.
AI Systems & Infrastructure
ML pipelines, model serving, and system integration built for real operating environments.
Research-Informed Engineering
Translating research ideas into systems that respect operational, cost, and organizational constraints.
Background
Experience across applied machine learning, AI systems, and research-oriented development, combining engineering rigor with research-informed decision making.
This site
This site documents selected projects and research notes around building reliable AI systems.