Gisela Redondo González

AI Researcher

Chestnut Hill, Massachusetts, United States6 yrs experience
AI EnabledHighly Stable

Key Highlights

  • Expert in Machine Learning and AI applications.
  • Proven track record in healthcare technology projects.
  • Strong mentor with a passion for education.
Stackforce AI infers this person is a Machine Learning Engineer specializing in Healthcare technology solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningSoftware DevelopmentData Manipulation

Other Skills

Algorithmsfast.aiScrumPandas (Software)Agile MethodologiesEngineeringPython (Programming Language)JavaScriptGraphQLMicrosoft AzureSQLGitHubNumPyScikit-LearnCommunication

About

I am a passionate and dedicated Machine Learning Engineer that has extensive experience in software development, data science, and AI/ML. Currently, I am working within Security & Integration at GitHub and enhancing my expertise through an online Master’s Degree in Artificial Intelligence, balancing my full-time role with part-time graduate studies. Driven by a commitment to innovation and problem-solving, I aim to advance technology and make a meaningful impact on the world.

Experience

6 yrs
Total Experience
1 yr 6 mos
Average Tenure
1 yr 5 mos
Current Experience

Github

Machine Learning Engineer

Jan 2025Present · 1 yr 5 mos · Remote

Optum

3 roles

Software Engineer

Promoted

Jun 2022Jan 2025 · 2 yrs 7 mos · Boston, Massachusetts, United States

  • Optum | June 2021 - Present
  • Contributed to development of Gradient Boosting classifier for the Advocacy department to identify potential customers that will have out-of-network claims, aiming to reduce costs for both customers and the company.
  • Designed and deployed a web application in Azure to test an LLM model capable of extracting key information from medical plan benefit documents.
  • Developed and deployed a Collaborative Filtering model to recommend insurance plans to brokers for Fully Insured and Level Funded plans, aiming to significantly improve decision-making and reliability.
  • Contributed to the development of a new platform for brokers and employers that provides a single and simplified user experience across all commercial applications.
Artificial Intelligence (AI)Algorithmsfast.aiScrumPandas (Software)Agile Methodologies+20

Associate Software Engineer

Jun 2021Jun 2022 · 1 yr · Boston, Massachusetts, United States

  • - Contributed as both developer and scrum master to the implementation of Transparency in Coverage (TiC) within our organization, a process that included data ingestion, processing and file publishing to disclose crucial healthcare pricing information for in and out-of-network services and providers.
Agile MethodologiesEngineeringPython (Programming Language)Microsoft AzureApache SparkData Manipulation+7

Technology Development Intern

Jun 2020Aug 2020 · 2 mos

  • Leverage existing data assets for machine learning to offer insight on policy plan irregularities and their root cause in their configuration; Make predictions on plan policy configurations, store the results of these predictions and build dashboarding capability to monitor trends, all with constant incoming data and in real-time.
Data ManipulationCommunication

Sinha lab

Undergraduate Student Researcher

Oct 2019Feb 2020 · 4 mos · Cambridge, Massachusetts

  • I used signal processing methods to computationally model physiological responses to repetitive and unpredictable stimuli. In this way, tried to understand temporal integration and prediction mechanisms in the brain to comprehend conditions like autism.
Communication

Millennium institute of biomedical neuroscience (bni)

Research Intern

Jun 2019Aug 2019 · 2 mos · Santiago, Chile

  • I conducted research in the neuromodulation of the spinal cord to treat Parkinson’s Disease. I used single pulse recordings, computational methods and data analysis to find the time it takes for neurons to fire after spinal cord stimulation of rats.
Data ManipulationCommunication

The gabrieli lab

Student Researcher

Feb 2019May 2019 · 3 mos · Cambridge, Massachusetts

  • I worked on developing a program for early readers that combines outstanding intervention to support reading in children who are falling behind with rigorous characterization of individual student profiles and of reading outcomes. My tasks included assisting with research related activities, including neuroimaging and scans, and collecting and analyzing the data from imaging and behavioral sessions. My main project was developing an R pipeline to score parent and child questionnaires that assess parental history of dyslexia, child motivation, home literacy, and other psychosocial and familial factors.
Communication

Pascall systems

Mechanical Engineering Intern

Jan 2019Feb 2019 · 1 mo · Cambridge, Massachusetts

  • I developed a prototype and SolidWorks design of a stand used in the hospital room for an electroencephalogram (EEG). My tasks included designing the enclosures for the Pascall EEG device electronics through CAD and proposing materials and dimensions for these.
Communication

Girls'​ angle

Mentor

Sep 2018Jun 2021 · 2 yrs 9 mos · Cambridge, Massachusetts

  • I mentored girls in a friendly and meaningful way, helping them to grow in knowledge and understanding of math. In this way, I can conduct direct math education and help girls become better thinkers and problem solvers.
Communication

Tractivus

Research Intern

Jun 2018Aug 2018 · 2 mos · Barcelona, Catalonia, Spain

  • I analyzed silicone’s mechanical properties, such as durability, hydrophobicity, and bacterial adhesion, before and after surface characterization with silver, which gives medical devices antimicrobial properties. My tasks included preparing sensor samples to be used to test biomass and biofilm formation in a dynamic system with Quartz crystal microbalance with dissipation monitoring (QCM-D) and performing in vivo studies.
Communication

Strano research group

Student Researcher

Feb 2018May 2018 · 3 mos · Cambridge, Massachusetts

  • I helped develop nano-biosensors for cancer research applications, in particular to probe biologically relevant analytes in vivo. I also studied chemotherapeutic drug delivery, tumor development, progression, and response to cancer-treating therapies.
Communication

People making a difference (pmd)

Project Assistant

Sep 2017May 2018 · 8 mos · Greater Boston Area

  • I assisted in the coordination and execution of weekly events for greater charities around Boston. My tasks included managing groups of service project volunteers, completing administrative tasks, and recruiting volunteers from the MIT community.
Communication

Education

Massachusetts Institute of Technology

Bachelor of Science - BS — Computation and Cognition

Jan 2017Jan 2021

Johns Hopkins Whiting School of Engineering

Master's degree — Artificial Intelligence

Jan 2023Present

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