Nicholas Mireles

Dave

Data Engineer • May, 2023 —Present

Engineer supporting the data science platform. Building and managing tools to train, test, and deploy new models in support of core business services.
More to come as I venture through my first non-research job!

Fortive

Data Engineer • Nov, 2021 —May, 2023

• In order to provide new sources of business intelligence for a marketing funnel, built an ETL pipeline in Prefect and Snowflake which aggregated multiple external and internal data sources to enable the sales team to drive $35M in new sales.
• In support of a legacy customer churn for a large operating company, optimized the various recipes within a Dataiku project to have a 72x improvement in speed and patched a memory leak which required an ever-increasing amount of memory to execute.
• As a core member of the MLOps team, developed Python coding standards, data governance policies, and performed daily management tasks of AWS, Azure, and GitLab tenancy including CI/CD pipelines.

Carnegie Mellon University

Data Engineer • June, 2019 —Oct, 2021

• Developed a bare-metal, ITAR-compliant ETL pipeline utilizing Airflow, Kubernetes, and Python capable of processing a petabyte of custom ROS data from robotic platforms.
• Implemented stereo vision and object-detection algorithms in C++ using Tensorflow and OpenCV.

Noblis

Software Engineer • June, 2017 —June, 2019

• To enable national security analysts to process large amounts of mixed-multimedia, lead the development and research for image and video automatic captioning web application utilizing state- of-the-art ML algorithms.
• In support of a multi-year IARPA research program, refactored legacy Python codebase to facilitate the release and evaluation of HITs on Amazon Mechanical Turk with a 10x performance increase.
• For the Department of Homeland Security’s Kaggle challenge to improve the accuracy of millimeter- wave body scanner threat detection algorithm, developed a convex-hull data preprocessing utility and evaluation harness for a state-of-the-art algorithm which ultimately placed within the top 6%.

West Virginia University

Bachelor of Science, Data Engineering • 2013 — 2017

Magna Cum Laude

Python (Programming Language) • CI/CD • Docker • SQL • PostgreSQL • Snowflake • Amazon Web Services (AWS) • Microservices • Terraform • Data Modeling • Machine Learning • C++ • Airflow