Open to opportunities

Leonardo Martinez-Perez

@leonardomartinez-per

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Software engineer focused on backend systems, automation, and medical imaging ML.

United States

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What I'm looking for

I seek roles building reliable backend systems and deployment automation in collaborative teams, ideally in healthcare or impactful product environments where I can apply ML and systems expertise to improve user outcomes.

I am a results-driven software engineer with experience building backend systems, automation tooling, and machine learning solutions for the medical industry. I have contributed to database management, APIs, and application logic while driving deployment automation and cross-functional delivery to reduce downtime and accelerate releases.

I led automated tooling for hospital site deployments, improved client/server performance by introducing SSL certificate caching and upgrading third-party libraries, and developed a deep-learning liver segmentation model integrated with DICOM-compliant web viewers. I bring practical experience with C#, C++, Java, Python, SQL Server, and deployment automation, paired with a collaborative approach working alongside clinicians and integration teams.

Experience

Work history, roles, and key accomplishments

Software Engineer II

Accuray Incorporated

Oct 2023 - Dec 2025 (2 years 2 months)

Developed and maintained APIs, SQL stored procedures and C# application logic for the Database Management System team; led automated tooling for hospital site deployments and improved client/server performance via SSL certificate caching and library upgrades.

C Java SQL Server API Development Performance Optimization PowerShell Tooling

Software Engineer I

Accuray Incorporated

Feb 2022 - Oct 2023 (1 year 8 months)

Built automation tooling for hospital site deployments, upgraded WinForms client applications, modified SQL stored procedures and SSRS reports, and collaborated cross-functionally to reduce configuration effort and customer downtime.

C WinForms Perforce PowerShell Automation Cross Functional Collaboration

Machine Learning Engineer

Personal Project

Designed and implemented a deep learning model to segment liver CT/MRI scans, collaborated with a radiologist and web team to ensure DICOM compliance and integration with a web-based medical imaging viewer.

PyDICOM Python TensorFlow Pydicom Medical Imaging Deep Learning DICOM data preprocessing

Education

Degrees, certifications, and relevant coursework

University of California, Davis

Bachelor of Science, Computer Science and Engineering

2017 - 2021

Completed a Bachelor of Science in Computer Science and Engineering with coursework in algorithms, software engineering, operating systems, and machine learning.