- Data Engineering
- Model Deployment
- NVIDIA SDKs
- AWS & Azure
- RESTful APIs
Nyx Smith is a data engineer at SFL Scientific, working with clients as part of the AI engineering group to deploy modern compute and digital tools. A graduate from Wentworth Institute of Technology with years of experience with Linux systems, prior to SFL Scientific they worked in the E-commerce industry designing scalable solutions for cloud computing and system monitoring. They also designed many testing and deployment systems for CI/CD pipelines for general software development, as well as for the medical and e-commerce specialties at companies like Mutualink and Monotype.
Nyx works with organizations to build and deploy many custom and proof of concept solutions, validating the specifications, deployment, and real-world scaling with IT organizations to stage production versions. As a data engineer, Nyx helps organizations improve the efficiency of their information processing, data, and architecture systems, developing new infrastructure to support future machine learning and artificial intelligence tools.
Computer Languages & Packages: Python, bash, Jenkins, CI/CD, Git, libvirt/QEMU/virsh, SQL, RESTful APIs, Django, Flask, Docker, Kubernetes, AWS, Azure, Terraform, C/C++, R