Facundo Martínez

Software Engineer

Building robust and scalable systems. Specialized in backend architecture, systems design, and bioinformatics with Python, Django, Flask, C++, Docker, and Google Cloud.

About Me

I'm a Software Engineer with a scientific background and a focus on building robust and scalable systems. I combine over 4 years of experience working across the full stack, with particular emphasis on backend architecture and systems design.

My experience includes evaluating and producing high-quality code for generative models at Scale AI, developing bioinformatics pipelines, and creating products like BioSeeker and the Better LinkedIn extension, published on Chrome and Firefox.

I work with technologies like Python, Django, Flask, C++, Docker, Redis, SQL, and Google Cloud for infrastructure and deployments. I'm passionate about software and creating solutions that deliver real value and impact.

Technical Skills

Backend & Systems

PythonDjangoFlaskC++TypeScriptSQLRedisDockerLinuxNginxBash

Cloud & Infrastructure

Google Cloud PlatformDockerNginxCI/CDSystem ArchitectureLinux Server Administration

Frontend

ReactNext.jsViteReduxTypeScriptJavaScript

Data & Tools

GitNumPyPandasRVisual StudioRaylib

Experience

AI Quality Assurance Specialist

Scale AI (Independent Contractor)

May 2024 - Present
  • Improving GenAI models by evaluating code quality, identifying failure modes, and producing high-precision training data
  • Collaborating with international teams on diverse programming projects
  • Recognized as a Trusted Contributor for consistent high-quality deliveries
  • Python · Django · Flask · Docker · C++ · TypeScript · SQL · Bash · Linux

C++ Developer

Quark Academy

April 2023 - May 2023
  • Created and launched the videogame "Proyecto Hypernova" during the Quark Game Jam for Windows
  • C++ · Raylib · Visual Studio

Python Developer (Bioinformatician)

Technological Institute of Chascomús

Feb 2021 - Dec 2022
  • Developed a bioinformatics and data analysis pipeline to study gene alignment files
  • Cleaning, processing and analyzing raw genetic data to obtain useful information
  • Python · NumPy · Pandas · R

Featured Projects

Better LinkedIn

Web extension to enhance your LinkedIn experience by applying custom filters to the feed. Published on Chrome and Firefox with 62 active users. Deployed on Google Cloud.

JavaScriptWeb ExtensionsGoogle Cloud

BioSeeker

Python tool for bioinformatics that calculates codon and codon pair conservation rates across species of a given genus. Allows bioinformaticians to gain insight on the nature of codon pairs, especially inhibitory codon pairs.

PythonBioinformaticsData Analysis

Get In Touch

I'm open to new opportunities and collaborations. If you want to discuss a project, or simply chat about technology, feel free to reach out.

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