Machine Learning Deep

MATT DRAGAN

DEEP LEARNING ALGORITHM DEVELOPER / VISION SCIENTIST / SOFTWARE ENGINEER

Competent algorithm developer with five years of experience creating custom high-performing machine learning solutions for a diverse range of computer vision problems. Expert researcher up-to-date with state-of-the-art techniques and frameworks for rapid and quality prototyping.

EXPERIENCE

Ven

Contract Data Scientist

Seattle, Washington • 03/2025 - Present

●Support early-stage data science efforts at a seed-stage startup exploring applied ML usecases

oSourced, ingested, and profiled datasets from diverse sources to support early-stage ML pipeline development

oSupported initial technical scoping and development in collaboration with lead software engineers

oDeliver exploratory reports on structure, quality, and use cases of collected data

Toyon Research Corporation, Algorithm and AI Solutions Team

Analyst (Deep Learning Algorithm Developer)

Fort Collins, Colorado • 04/2020 – 05/2024

●Primary developer on Air Force funded AI for the Depot program (2023-2024)

oDeveloped a system to automatically digitize handwritten text from a completed form

oDeveloped a Large Language Model based Retrieval-Augmented Generation tool for information extraction from a database of unstructured text

●Primary Developer on Space Force funded Pathfinder Application for Wide Field of View program (2022-2023, 2024)

oDesigned and implement semantic segmentation and recurrent deep neural networks to segment small dim targets in remote sensing infrared video

oDeveloped specialized evaluation metrics to measure model performance

●Primary developer on Army funded Biometric Data Cleansing program (2022)

oAssisted in the development of deep learning algorithms to automatically assess biometric data quality

oDesigned and implement a face classification algorithm to identify mislabeled faces

oImplement and evaluate deep learning-based fingerprint matcher

●Developer on NGA funded Change Detection program (2021)

oAssisted in the development of a building damage assessment model

oCreated a lightweight building density estimation module to prevent damage assessment in building-sparse regions

●Primary Developer on NGA funded Low Shot/LUCK-E-SHOT program (2020-2022)

oAugmented object detection models to detect targets of interest in remote sensing imagery using relatively few object samples by incorporating land us context

oDesigned software to convert OpenStreetMap tags into land use maps

●Additional Company Roles/Competencies

oCurrent Top Secret Security clearance

oInformation Systems Security Officer (classified systems auditor and maintainer)

oPursue new business through proposal writing – incorporating the latest techniques and tools, creative thinking, and rapid solution conceptualization

oVariety of software development tasks including implementing metrics, adding small components to models, and assisting fellow employees develop projects

Graduate Research Assistant - Department of Computer Science, Colorado State University

Fort Collins, Colorado • 12/2018 - 12/2019

●Primary developer on DARPA funded Communicating with Computers research project

●Conducted extensive research to complete individual master’s thesis project concerning deep convolutional neural network behavior when exposed to out-of-domain data samples

***********@*****.***

775-***-****

Seattle, Washington 98118

LANGUAGE COMPETENCIES

●Python

●C

●C++

●C#

●R

●MATLAB

●Java

●CUDA

AI TOOLS/COMPETENCIES

●TensorFlow

●PyTorch

●TensorBoard

●PyTorch Lightning

●TorchVision

●TorchMetrics

●HuggingFace

ADDITIONAL COMPETENCIES

●OpenCV/Numpy/ScikitLearn/SciPy/Pandas/Matplotlib

●Apache Spark/Apache Storm/Hadoop / Ray

●OpenMP/MPI/CUDA

●Statistical Analysis

●Data Modeling/Deep Learning

●Git/Continuous Integration

●Docker/Docker Compose

●Kubernetes

●Python Poetry Package Manager

●Visual Studio Code/ Devcontainers

●Assembly Language

●Digital Logic

EDUCATION

Colorado State University

Master of Science: Computer Science

Fort Collins Colorado • 12/2020

●GPA: 4.0

●Focus in Artificial Intelligence, Machine Learning, and Computer Vision

University of Nevada

Bachelor of Science: Mathematics with an Emphasis in Statistics

Reno, NV • 05/2017

●In Cursu Honorum Cum Laude. GPA: 3.911

●Minor in Computer Science and Engineering

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