Tiago Alves
Machine Learning & Software Engineer
As a Lead Full Stack & Machine Learning Engineer currently advancing my career at GoGoGuest in San Francisco, I specialize in leveraging generative AI, software engineering and machine learning to create scalable solutions across industries. My journey began with a strong foundation in Informatics and Computing Engineering, culminating in a Master’s degree. My professional path has been enriched by significant experiences, including pioneering machine learning research at Fraunhofer and a productive internship at Switch, where I refined my software development skills. Proficient in Python, and adept with a broad tech stack including GCP, AWS, Django, FastAPI, JavaScript, React, and NextJs, I am passionate about utilizing technology to solve complex challenges and drive innovation.
- From: Porto, PT
- Works In: San Francisco, USA
- Age: 25
- Gender: Male
Experience
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2023 - Current
Lead Full Stack & Machine Learning Engineer
GoGoGuest- Led the integration of generative AI for dynamic image marketing solutions, enhancing brand engagement.
- Developed scalable ML pipelines for text-to-image and image-to-image generation, driving content innovation.
- Tech Stack: Python, Stable Diffusion, GCP, AWS, Django, FastAPI, JavaScript, React, NextJs.
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2022 - 2023
Machine Learning and Computer Vision Researcher
Fraunhofer AICOS- Thesis and research paper on "Cervical Cytology Imaging Generation with Latent Diffusion Models".
- Enhanced Fraunhofer’s cervical cancer detection algorithm using state-of-the-art techniques.
- Technologies: Python, Generative Machine Learning, Tensor- Flow, PyTorch, Computer Vision, Deep Learning, NLP
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2021
Software Engineer Intern
Switch Payments- Developed and deployed optimized solutions for socket-based client communication.
- Implemented Multi-Threading and enhanced concurrency, performance, and system robustness.
- Technologies: Python, Django, Docker, Sockets, SSL
- Technical Article & Blog post
There are many variations of passages of Lorem Ipsum available, but the majority have suffered
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2018 - 2023
Global Projects Coordinator
NIAEFEUP- Oversaw and managed all projects within the association, demonstrating excellent organizational and leadership skills.
- Actively contributed as a developer on various projects, including UNI, an app catering to students at Oporto University
Education
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2022
Master in Informatics and Computing Engineering
Faculty of Engineering of the University of PortoAdvanced Machine Learning, Deep Learning, Neural Networks, NLP, Computer Vision, Cloud Computing, Software Engineering, Algorithm Design, Database Management Systems, Distributed Systems,Web, Artificial Intelligence
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2021
Bachelor in Informatics and Computing Engineering
Faculty of Engineering of the University of PortoMachine Learning, Software Engineering, Architecture, Algorithm Design and Analysis, Databases, Distributed Systems, Web, Mobile, Artificial Intelligence, DevOps
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2022
International Exchanges
Worldwide- Erasmus+ program at the Budapest University of Technology and Economics
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Completed Three 2-Week Courses at Top European Colleges.
Highlights include:
- Data Science for Medicine course at CentraleSupélec
- Deep Learning course at KU Leuven Faculty of Engineering Technology
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2018
Bachelor in Mechanical Engineering
Faculty of Engineering of the University of Porto- Successfully completed two years of the academic program, until I realized my profound passion for the field of Computer Science.
- Thermodynamics, Materials Science, Mechanics, Statistics, Methematical Analysis, Fluid Mechanics
