Hi, I'm
Alex Reinoso Perez
Machine Learning Engineer
focused on MLOps & Deep Learning
I build end-to-end machine learning systems, with a strong focus on MLOps, deep learning, and production-ready AI pipelines. My work emphasizes reproducibility, scalability, and practical impact in real-world environments.
What I Do
Expertise in building production-ready ML solutions
End-to-End ML Systems
Design and implement complete machine learning solutions from data collection to production deployment.
MLOps & Infrastructure
Build scalable ML pipelines with automated training, deployment, and monitoring systems.
Deep Learning
Develop state-of-the-art deep learning models for computer vision, NLP, and other AI domains.
Production Focus
Deliver robust, maintainable ML systems that scale and perform in real-world environments.
My Work
Projects
Selected machine learning and AI projects showcasing expertise in deep learning, computer vision, and end-to-end ML systems.
Bachelor's Thesis - AI-powered artwork authentication system using deep learning to detect art forgeries and verify authenticity.
Key Highlights
- ▹Developed deep learning models for art style analysis
- ▹Achieved 94% accuracy in forgery detection
- ▹Implemented transfer learning with ResNet architecture
- ▹Created comprehensive dataset of artistic styles
Technologies
Outcome
Computer vision system trained and evaluated on a custom artwork dataset.
Master's Thesis - Advanced deepfake detection pipeline for both audio and video content, using custom-trained models by the research team.
Key Highlights
- ▹Achieved 98% accuracy in audio deepfake detection
- ▹Achieved 89% accuracy in video deepfake detection
- ▹Custom models trained by the research team
- ▹Dual-pipeline approach for comprehensive media verification
Technologies
Outcome
End-to-end deepfake detection pipeline with experiment tracking and model evaluation.
Deepfake Generation Platform
End-to-end platform for generating high-quality synthetic media using cutting-edge AI technologies for ethical research purposes.
Key Highlights
- ▹Integration with Spanish F5 for voice synthesis
- ▹FaceFusion for realistic face swapping
- ▹Sora2 integration for video generation
- ▹HeyGen for AI avatar creation
- ▹Built for ethical research and detection model training
Technologies
Outcome
Synthetic media generation platform for research and detection model training.
AI-powered fitness application using computer vision for exercise form correction and personalized workout recommendations. Available on web and iOS.
Key Highlights
- ▹Real-time pose estimation and form analysis
- ▹ML-based personalized workout generation
- ▹Cross-platform: Web application and iOS native app
- ▹iOS app: github.com/AlexReinosoPerez/iOSminiAppFitness
Technologies
Outcome
Functional AI-driven fitness application with real-time pose analysis.
What I have done
Experience
Professional experience in machine learning and data science
Data Scientist / Machine Learning Engineer
Contributing to end-to-end machine learning projects in enterprise environments, with focus on MLOps practices and production-ready solutions.
Awards & Recognition
- 🏆Faculty Talent Scholarship (2 consecutive years)
Key Achievements
- •Contributed to production ML pipelines in enterprise client projects
- •Applied MLOps practices using MLflow, Docker, and cloud platforms
- •Developed deep learning models for computer vision and NLP tasks
- •Worked on automated model retraining and monitoring workflows
- •Collaborated with cross-functional teams including data engineers and stakeholders
- •Participated in client-facing technical discussions and solution design
Technologies & Tools
My abilities
Skills
Technical expertise across the ML/AI stack
ML & Deep Learning
MLOps & Infrastructure
Data & Engineering
Cloud & DevOps
AI Domains
APIs & Development
Get in touch
Contact
Let's connect and discuss opportunities
Open to full-time opportunities and consulting projects