I'm a Software Engineer at Microsoft, currently working on Word, PowerPoint, and Excel with a focus on M365 Copilot integration.
I hold an M.S. in Computer Science from Columbia University (Machine Learning track) and dual B.S. degrees in Computer Science
and Mathematics from the University of Barcelona.
My experience spans large-scale distributed systems, applied machine learning, and full-stack product development across Microsoft,
Amazon, and Twilio. I've also contributed to academic research, publishing at the IEEE International Conference on Automatic Face
and Gesture Recognition, and founded the Google Developer Student Club at my university.
Beyond engineering, I bring the discipline of a former national-level track athlete and a passion for building communities
that connect people through technology.
- Building new App Home Pages for Word, PowerPoint, and Excel.
- Focusing on integrating M365 Copilot to deliver more personalized, AI-driven productivity experiences.
- Collaborating across design, product, and engineering to ship features at global scale.
- Tech stack: React, Typescript, KQL, Azure.
- Implemented a feature to give M365 Apps Admin Center admins the ability to deactivate Cloud Updates.
- Collaborated with engineers, PMs, and designers to implement the feature end-to-end.
- Successfully tested end-to-end the deactivation workflow.
- Increased customer trust and adoption by providing admins control over their management of devices at an enterprise level.
- Tech stack: React, C#, Service Fabric.
- Designed and developed an RPS (requests per second) load-feedback segregated per application system.
- Increased the traffic distribution efficiency per cluster by providing application-specific metrics to the load balancer.
- Presented and discussed the solution with team members before, during and after the development process.
- Gained substantial experience in microservices architectures and on the design, development, and management of large-scale distributed systems.
- Tech stack: C#, Service Fabric.
- Designed, implemented, and integrated a video processing QA workflow to automatically validate
Amazon books video trailers.
- This tool can currently validate 1000 videos in under 10 minutes, while it took two weeks to perform the
same process by an internal team.
- The workflow uses state-of-the-art machine learning algorithms to perform the corresponding checks.
- The architecture is microservices-based and is Native to AWS, all built using AWS CDK.
- Tech stack: Python, Typescript, Java, AWS CDK.
Designed and integrated a workflow to generate themes for the Amazon books.
Created an optimal color palette to fit the book's theme using quantization
algorithms and machine learning. Also built a Video QA system PoC and proved that Video
QA can be automated, by which a lot of money could be saved.
- Tech stack: Python, Typescript, Java, AWS, AWS CDK, OpenCV.
Designed, developed, tested and deployed an end to end internal chatbot
application that provides insights and troubleshooting into Twilio's media recordings
data. This tool is helping the Twilio TSEs ease their work when dealing with customers' issues.
- Tech stack: Python, Flask, Bash, Docker, and AWS
Helped to organize 2020 Looking at People Challenge FG Identity-preserved human detection,
a challenge for people to detect people in images and videos. Helped in the development
of a system that detects people in images and videos based on their body parts. Published
my first scientific paper at the IEEE International Conference on Automatic Face and Gesture Recognition.
- Tech stack: Python, OpenCV.
Throughout my academic and professional journey, I’ve built a strong foundation in both technical and leadership skills. From research publications and scholarships to founding student communities and competing in athletics, I bring a mix of analytical rigor, teamwork, and perseverance to everything I do.
Completed 13 university courses with honors, earning full-tuition scholarships for additional coursework during my Computer Science and Mathematics studies.
Co-authored a paper on identity-preserved human detection, published at the IEEE International Conference
on Automatic Face and Gesture Recognition.
Also wrote a blog post
for Twilio on building a WhatsApp translator bot with Flask and Azure.
Founded and led the Google Developer Student Club at the University of Barcelona, growing a community of 30+ students and organizing workshops, talks, and hackathons.
I have been invited to a number of events and hackathons organized by companies such as Google, Facebook and Bloomberg. On July 2021 I was one of the 36 selected people out of a pool of thousands of EMEA students, to attend Google's Inside Look program. Similarly, on 2020 I was selected to attend the Bloomberg's Women in Technology program.
Former 800m track athlete, winner of six Spanish national medals in youth categories, and representative for Spain at the 2015 Youth Olympic Games in Tbilisi.
Developed a ray tracing engine in C++ with OpenGL, implementing multiple optimization techniques to improve rendering performance and visual quality. Gained hands-on experience with core computer graphics algorithms.
Implemented the Z-Buffer algorithm in C++ with GLSL and OpenGL, optimizing depth management and rendering efficiency for complex 3D scenes. Strengthened teamwork and low-level graphics programming skills.
Built a multiplayer adventure game in Java using TCP sockets, enabling both single-player and peer-to-peer gameplay. Applied network programming and game design principles to create a fully interactive experience.
Explored differential geometry by analyzing and visualizing developable surfaces. The project provided mathematical and computational insight into geometry and its applications. (Project report in Spanish).
Designed and deployed a ticketing platform where users can register, log in, and purchase tickets for events. Built with Python, Flask, JavaScript, and Vue, emphasizing scalable backend integration with a responsive UI.
Developed the front end of an e-commerce platform for pharmacy products in Catalan. Implemented with Vue and JavaScript, focusing on a clean user experience and real-world applicability in healthcare.
Created a WhatsApp chatbot that translates text in real time, powered by Python, Flask, and Microsoft Azure. Documented the project in a Twilio blog post, reaching a global developer audience.