Experience

Roles and research appointments

01

Engineering roles

Designed and shipped applied machine learning systems, owning model development, evaluation pipelines, and deployment. Each role is summarized by its core responsibilities and the systems it affected.

02

Research appointments

Conducted investigations in machine learning theory and applied algorithms, contributing to preprints and publications. Work focused on assumptions, experimental design, and reproducible results.

03

System impacts

Built distributed computing workflows and evaluation tooling that improved throughput and reliability. Impact is described in terms of the systems changed and the decisions they supported.

Skills and education

Core competencies and credentials

Languages, ML frameworks, distributed computing tools, degrees, and academic honors.

Languages & frameworks

Programming and ML

Python and core scientific libraries, with applied work in machine learning frameworks for model training, evaluation, and inference.

Distributed computing

Systems and infrastructure

Tooling for distributed data processing and experiment orchestration, applied to training and evaluation at scale.

Education & honors

Degrees and recognition

Formal academic degrees and honors listed in the downloadable PDF resume, with publications summarized alongside.