Hello, I am
{Francisco Izquierdo}
Machine Learning & Software Engineer
I'm a 24-year-old professional based in Aveiro, specialized in AI and Back-End development. I thrive in diverse teams and love collaborating to build impactful solutions.
const developer = { degree: 'Master's in Informatics Engineering', company: 'Altice Labs', skills: ["Machine Learning", "Deep Learning", "Data Visualization", "Data Science", "Cloud", "DevOps", "Infrastucture"], collaborative: true, autonomous: true, entrepreneurial: true, hireable: function() { return ( this.collaborative && this.autonomous && this.entrepreneurial && this.skills.length >= 7 ); } };
Take a Look at
Some of My Projects
CrowdFlow
2024 - Now
python
opencv
azure
tensorflow
flask
dockerCrowdFlow is a data collection and analysis platform that uses AI and surveillance cameras to monitor clients movements inside commercial surfaces. I refined object detection and classification models, quantized AI models for deployment on edge devices, developed Rest API server, backend architecture and statistical processing modules. I also implemented cloud deployment and managed database integration, including connection handling and query optimization.
Hate Speech Recognition – DistilBert Fine-Tuning
2023 - 2024
python
huggingface
jupyter
kaggle
pytorch
pandas
scikit-learnThis project tackles the problem of hate speech and offensive language detection on social media platforms using a fine-tuned DistilBERT transformer model. The motivation stems from the growing challenge faced by online communities to moderate harmful content and ensure safe digital spaces. Manual moderation is not scalable—automated NLP tools can help identify and mitigate toxic behavior at scale.
oNode
2022 - 2023
java
linux
latexoNode is a prototype platform designed to distribute audio, video, and text content from a central content server to multiple clients. It supports various transport protocols, allowing experimentation and performance testing with different network delivery mechanisms. This setup simulates real-world multimedia distribution systems, focusing on flexibility, modularity, and protocol-level behavior.
Face Fraud Detection
2022 - 2023
pythonjupyterkaggletensorflowpandasscikit-learn
kerasThis project entails the development of a deep learning model utilizing advanced computer vision techniques to identify AI-generated faces. By employing robust image classification methodologies, the model is designed to effectively distinguish between authentic and synthetic facial images. This capability not only advances the accuracy and reliability of visual content analysis but also plays a crucial role in detecting manipulated media, which is increasingly important in maintaining the integrity of digital information.
Development Stack
Programming Languages
Machine & Deep Learning
Data Science & Visualization
Cloud, DevOps & Infrastructure
Awards & Recognition
2nd Place
Award
Startup Point 2024
Capgemini Prize
Award
National Contest for Young Entrepreneurs 2024
Honor Student
Recognition
Colégio de Albergaria
Level 5 Saxophone
Recognition
Jobra Music Conservatory
Publications & White Papers
Publication
EPIA2024 International Conference on Artificial Intelligence
Efficient Image Search and Retrieval System in Cloud Platforms
White Paper
InnovAction Magazine
Artificial Intelligence in Efficient Image Search on MEO Cloud
Contact
Got a question, suggestion, or just want to say hi? Drop me an email atfranciaguia@hotmail.comor fill out the form — I’d love to hear from you!