Open to opportunities

Matthew Zarachoff

@matthewzarachoff

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Senior machine learning engineer specializing in computer vision and autonomy.

United States

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What I'm looking for

I seek senior ML/vision roles focusing on autonomy and real-time systems, collaborative teams, and opportunities to lead model-to-production projects and mentor engineers.

I am a PhD-trained machine learning and computer vision specialist focused on building and deploying real-world neural network systems for behavior prediction and autonomous applications.

I have led end-to-end ML development efforts — from model design and training to deployment and evaluation — delivering measurable performance improvements such as a 25% enhancement in electromagnetic source optimization and 95% accuracy in real-time fencing match predictions.

My background spans academic research with multiple peer-reviewed publications in top-tier venues and industry work integrating ML into production systems, including scene understanding, motion planning, and real-time AI.

I thrive in collaborative, fast-paced teams, mentor engineers and students, and bring strong software and research expertise across Python, PyTorch, MATLAB, C++, CUDA and cloud-backed deployments to advance autonomous vehicle and real-time systems.

Experience

Work history, roles, and key accomplishments

Current

Scientist

Current

Science, Engineering, and Management Solutions (SEM-SOL)

Jul 2024 - Present (1 year 4 months)

Led development of ML/AI toolkits and neural networks for behavior prediction and high-energy physics simulations, improving electromagnetic source performance metrics by 25% and delivering production evaluation pipelines.

Python PyTorch Matlab NumPy Scipy Model Evaluation Simulation Azure

Technical Co-Founder

Universal Fencing League

Aug 2021 - Jul 2024 (2 years 11 months)

Developed and deployed real-time AI for behavior prediction and motion tracking in fencing, achieving 95% match-prediction accuracy and integrating object detection, localization, and motion-planning features.

Python PyTorch Pose Estimation Real Time Systems Flutter Google Cloud Firestore

Engineer

David Manning Company

Dec 2015 - Dec 2017 (2 years)

Designed and tested aerospace thermocouples and implemented statistical quality-control processes to improve product reliability and compliance with industry standards.

Thermocouple Design Statistical Analysis Quality Control Data Analysis

Teaching Assistant

University of California - Riverside

Sep 2015 - Dec 2015 (3 months)

Assisted instruction for discrete structures and graduate AI courses, mentoring students and leading recitations to improve understanding of ML concepts and problem-solving.

Teaching Mentoring Artificial Intelligence Discrete Structures Grading

Research Assistant

University of California - Riverside

Sep 2015 - Dec 2015 (3 months)

Developed generative and discriminative models for ICU patient data, improving prediction accuracy by 20% via probabilistic Bayesian methods and correcting medical data inaccuracies for clinical use.

Generative Models Data Cleaning Machine Learning Healthcare Analytics

Student Researcher

Oklahoma State University

Jan 2014 - May 2014 (4 months)

Built Monte Carlo simulations and LabVIEW VIs for particle detection and radiation therapy applications, and designed medical-physics hardware and iOS apps for testing.

Medical Physics iOS Development