Francisco Ramos Pérez

I am currently a Master's student at UC Berkeley, specializing in Computer Sciences with a deep passion for Natural Language Processing (NLP), Computer Vision, and advanced control algorithms for autonomous systems. My journey in academia and research has been marked by significant involvement in various cutting-edge projects and contributions to the field.

My research in NLP has primarily focused on fine-tuning Large Language Models (LLMs) and leveraging them for diverse applications like text-to-code conversion, machine translation, and generative modeling. A noteworthy project I undertook was at the Sky Computing Lab at UC Berkeley, where I conducted correlational analysis of LLMs. This research aimed to enhance their efficiency and develop evaluation methods that do not rely on labeled data, pushing the boundaries of conventional NLP methodologies.

In the realm of Computer Vision, I have worked on the development of an autonomous agent that controls a car using perception input and behavior cloning in AI Racing Tech . This venture into automotive autonomy was further enriched by my time at the Advanced Center for Aerospace Technologies , where I implemented an object detection model in a drone-based detect-and-avoid system. My expertise also extends to agricultural technology, where I have utilized computer vision to analyze satellite images for feature extraction in agricultural crops.

My academic journey has been marked by co-authoring three publications in esteemed computer vision and robotics conferences, highlighting my contributions to these fields. Additionally, I was honored with an award from the University of Sevilla for the best final project among over 600 candidates. This project revolved around using neural networks to optimize the management of EV charging stations by predicting power demand and generation, showcasing my ability to apply advanced technologies in practical, real-world scenarios.

Further showcasing my leadership skills, I served as the project manager for the Autonomous Unmanned Aerial Vehicle System at UPM. Leading a dynamic team of 12 members, we focused on developing a drone for an Autonomous Drone Racing Competition, blending intricate technological elements with team coordination and project management expertise.

I am seaking out new opportunities to broaden my knowledge and develop my professional career. If you think I would be a good fit for your lab or company, feel free to reach out to me.

Research interest

As a passionate individual with a deep fascination for cutting-edge technologies, I am particularly drawn to the fields of NLP, Computer Vision, and Autonomous vehicles. These research areas have captivated my attention due to their potential to revolutionize various industries and improve the quality of life.

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