# Manuel Cabrera

> Senior Machine Learning Engineer

Location: Fort Lauderdale, Florida, United States
Profile: https://flows.cv/manuelcabrera

Machine Learning Engineer with over six years of experience specializing in all aspects of the Data Science process, from data analysis to building and deploying models.

## Work Experience
### Senior Machine Learning Engineer @ Corteva Agriscience
Jan 2022 – Present
Role: Data Engineer/Data Scientist
Description: Corteva spun out of the Agricultural Science divisions of both DuPont and Pioneer International when they merged. My role was to implement new models to predict and quantify aspects of crop science and maintain the application that enabled users to run these models on their data. The application was built using Python, NodeJS, Flask, C#, C++, R as a back-end, and Vue/JavaScript as a front-end.
 Responsibilities:
●	Collect and analyze large, complex datasets using statistical and machine learning/data analysis techniques tools like Pandas, NumPy, and Sentinel-1.
●	Help design data and build data infrastructure solutions like data meshes, data observability solutions, and ETL pipelines.
●	Communicate findings and recommendations to technical and non-technical audiences using data visualizations, presentations, and reports using tools like Jupyter Notebooks and R-Markdown.
●	Mentor and coach other members of the data team, including junior data analysts and engineers.
●	Build APIs and python and R packages that wrap around data science models.
●	Environments: Python, Docker, JavaScript, Vue, VS Code, Jupyter Notebook, MySQL, SQL, AWS, EC2, S3, JIRA, GIT, PyTest.

### Full-stack Developer @ Polly
Jan 2022 – Jan 2022
Role: Full-Stack Developer
Description: PollyEx is a startup that provides a pricing engine for mortgage lenders. I worked as a full-stack developer maintaining and updating the lender platform. The application is built using Django, MongoDB, Vue and deployed using Docker.
 Responsibilities:
●	Worked in an agile team in all aspects of the software development cycle, including planning, implementation, and deployment.
●	Worked on frontend features using BootstrapVue, created responsive, reusable components, added tables, accordions, icons, and buttons.
●	Spearheaded an effort to remove magic strings and repeating code from the codebase using constant files, computed values, and stored values in the Vuex store.
●	Wrote and updated Django views that worked with helper methods that were reusable across the backend.
●	Created new tests classes for Django views, refactored repeated test code, removed redundant tests and base classes to increase the readability of the codebase. 
●	Environments: Python, BootstrapVue, JavaScript, Vue, Vuex, VS Code, MongoDB, AWS, JIRA, GIT, Pytest, Unittest, Django, Encompass.

### Full-stack Developer @ Reggora
Jan 2021 – Jan 2022
Role: Full-Stack Developer/Data Scientist
Description: Reggora is a startup revolutionizing the field of home appraisals. I have been working as a full-stack developer maintaining and updating the lender platform. The application is built using Flask, MongoDB, React and deployed using Docker in AWS. Data was handled by Pandas and Skicit-Learn.
 Responsibilities:
●	Own and maintain an internal integration with an external appraisal review company. Owning all aspects of the software development cycle, including planning, epic shredding, story pointing, implementation, and deployment.
●	Planned and implemented data gathering, storage, analysis and modeling to help predict housing prices.
●	Help maintain the lender platform by adding new features, decreasing tech debt, fixing bugs, and coming up with solutions to prevent future bugs.
●	Collaborate with external developers to plan and implement APIs shared between the two organizations.
●	 Planned, proposed, and implemented an internal system for updating and storing Postman Collections.
●	Mentor new developers in best practices and internal processes for Python, React, and Full-stack development and data best practices.
●	Environments: Python, Docker, JavaScript, React, VS Code, MongoDB, AWS, EC2, S3, JIRA, GIT, PyTest.

### Machine Learning Engineer @ Corteva Agriscience
Jan 2019 – Jan 2021
Role: Data Engineer/Data Scientist
Description: Corteva spun out of the Agricultural Science divisions of both DuPont and Pioneer International when they merged. My role was to implement new models to predict and quantify aspects of crop science and maintain the application that enabled users to run these models on their data. The application was built using Python, NodeJS, Flask, C#, C++, R as a back-end, and Vue/JavaScript as a front-end.
 Responsibilities:
●	Debugged and maintained controller process written in Python that coordinated data pipeline.
●	Finalized TensorFlow and Scikit-Learn Models validated by Plant Breeders and integrated those models into the application’s workflow to provide users with new analyses for their research fields.
●	Improved model correlations, accuracy, and precision when those values fell below requirements so crop scientists could have the best possible data to make decisions about crop varieties.
●	Created new Vue Components to abstract analyses and allow them to be used for novel crops.
●	Wrote CI/CD pipelines for Docker Images using Gitlab YAML files controlling data between a DEV/QA/PROD environment.
●	Created and maintained Python libraries to handle repeated tasks across many docker images, so the application is easier to maintain and scale.
●	Environments: Python, Docker, JavaScript, Vue, VS Code, Jupyter Notebook, MySQL, SQL, CRUD, AWS, EC2, S3, JIRA, GIT, PyTest.


## Education
### Master's degree in Data Science
North Central University

### Bachelor of Arts (BA)
Queens College
Jan 2010 – Jan 2015


## Contact & Social
- LinkedIn: https://linkedin.com/in/manuel-cabrera-32238037

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Source: https://flows.cv/manuelcabrera
JSON Resume: https://flows.cv/manuelcabrera/resume.json
Last updated: 2026-03-22