Guilherme Cepeda
Generative AI EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science and Engineering Student with a focus on Generative AI
I believe that technology is changing the world. I am a diligent Computer Science and Engineering Student aspiring to be an engineer with a special focus on Generative AI, currently finishing my MSc. in Computer Science and Engineering with my final thesis defense on June 26th. I consider myself a very focused, disciplined, interested, adaptable and determined person who is eager to acquire more knowledge. "Mens sana in corpore sano"- It stands for the ideal of versatility. A person is only healthy when he is occupied both intellectually and physically. This is a motto that i live by, thats why I am always exercising both my physique and my mind.
Faculdade de Ciências da Universidade de Lisboa
Master of Science · Computer Science and Engineering
September 1, 2023 – Present
Instituto Superior de Engenharia de Lisboa
Bachelor of Science · Computer Science and Engineering
September 1, 2019 – July 1, 2023
JUST Enterprise Ciências, Júnior Iniciativa da Faculdade de Ciências da Universidade de Lisboa
Project Department Member
December 1, 2023 – July 1, 2024
Lisbon, Lisbon District, Portugal
Development of an Emotional Interactive Intelligent Virtual Agent
September 1, 2024 – November 1, 2025
This thesis presents the virtual agent created in the investigation and development of an emotional and interactive intelligent virtual agent designed to support the emotional and social needs of elderly individuals via a chatbot conversation. The proposed solution uses artificial intelligence to recognize, interpret, and respond empathetically to human emotions in real-time. Using multimodal emotion recognition techniques, Large Language models and Natural Language Processing (NLP), the proposed agent combines facial expressions and speech to detect and classify emotional states accurately, using them to improve the human-computer interaction. The solution is also personalized which means that it knows each human, his family, his history and his hobbies particularly, and it is continually learning from the interactions during the conversations using the new information to grow the memory about that specific human.
View ProjectTransformer-Based Detection of B-Lines in Lung Ultrasound
April 1, 2024 – June 1, 2024
Lung Ultra-sounds (LUS) have been a widely used tool for patient assessment for the last 50 years. However, subjectivity still applies when counting and evaluating the presence of B-lines, which are artifacts that appear to be heavily correlated with pulmonary congestion. In this work, we evaluate the performance of state-of-the-art transformer models against a deep learning approach benchmark to attempt to classify the presence of B-Lines in patient's Lung Ultra-sounds.
View ProjectIntelligent Personalized Care
February 1, 2023 – July 1, 2023
The Intelligent Personalized Care project aims to respond to the rapidly increasing sedentary lifestyle and isolation of the population. Using advanced artificial intelligence technologies to provide personalized and effective remote care for patients in different health scenarios, it will be possible to reduce and prevent sedentary lifestyle, and promote physical exercise and rehabilitation in people.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to real-world problems, particularly in healthcare and social support, which aligns with impactful and innovative work. The mention of physical activities and past involvement in Judo and Boy Scouts indicates discipline, teamwork, and a proactive attitude, suggesting a good fit for a dynamic and collaborative work environment. The candidate's focus on continuous learning and adaptability is also a positive indicator for cultural fit in a fast-paced tech company.
Soft Skills & Operational Fit
The candidate highlights critical thinking, problem-solving, empathy, teamwork, determination, adaptability, and creativity. These soft skills are valuable for a Generative AI Engineer role, which often involves complex problem-solving, collaboration, and continuous learning in a rapidly evolving field. The candidate's experience as a 'Project Department Member' and '1st year Student Representative' suggests some operational exposure and leadership potential.