Location: Boston, USA
Technologies:
– Python, C++, C, Go, CUDA, bash
– Docker, GitLab CI, FFmpeg
– Tableau, Pandas, NumPy, SpaCy
– PyTorch, TensorFlow, OpenVINO
– Redis, Kafka, MongoDB
– Git, Jira
Willing to relocate: No
Résumé/CV: https://dwrodri.gitlab.io/resume.pdf
Summary: Machine Learning Engineer with 5 YoE of experience in academia and 2
YoE of experience working as an ML Engineer seeking mid-career/senior roles in
the Computer Vision / ML Engineering space. Orgs with <100 employees preferred.
Reach out to me if the following experience seems applicable to a position:
– Shrunk bandwidth of a video ingress pipeline by 10X by writing high performance C++ code that linked against FFmpeg’s C API.
– Shipped an end-to-end topic classification system built using Kafka, Python, and SpaCy which classified 1M+/posts per second on a single node.
– Designed and launched a recommender system for the 2M+ scholarly articles in the arXiv database.
– Developed a cycle-approximate simulator of an open-source RISC-V CPU using Go.
Contact me at: derek [at] derekrodriguez [dot] dev
