Hi there! I am Albert Rial 
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I am a computer scientist specialised in software development and artificial intelligence. I consider myself a responsible person, with the ability to learn and adapt quickly. I love challenges, enjoy getting things done and always try to do my best in everything I do.
Started working at the Global Pricing Advanced Analytics team. Responsible for the development, deployment, and monitoring of advanced machine learning models that directly impact HP’s pricing strategies.
Led the design and development of machine learning‑based systems for image processing and enhancement. Technical lead of our team. Defined the architecture and roadmap of our assets, mentoring and supporting others, and always aiming to deliver scalable and maintainable solutions aligned with business goals and stakeholders.
Development of firmware and software solutions with quality, scalability and innovation at the helm.
Worked at Human Pose Recovery and Behavior Analysis (HuPBA) group. Research in the field of 3D reconstruction from 2D images, pushing the boundaries of the state-of-the-art in the reconstruction of 3D garment models from just a single RGB image. Publication accepted to IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) and awarded with a Google Best Poster Award.
Started working at the Imaging & Printing Group of the Large Format Printing (LFP) division in HP Inc.
Development and maintenance of different software solutions for industries.
Studied in-depth aspects of machine learning, deep learning, computer vision, natural language processing and multi-agent systems, among others. Honours in courses including Machine Learning, Human Language Engineering, Big Data or Intelligent Project. Graduated with a GPA of 3.89 (9.6/10) and awarded an honours degree for being the 2nd among 40 students.
Hands-on experience in ethical hacking, secure software development, malware analysis, forensics and cryptography. Honours in courses including Pentesting (Ethical Hacking), Risk Analysis or Data-Driven Security.
Specialised on software engineering. Learned all necessary skills to participate in projects for the design, maintenance and evaluation of software systems. Honours in courses including Programming, Probability and Statistics, Mathematics, Parallel Comptuing or Databases. Graduated with a GPA of 3.78 (9.3/10) and awarded an honours degree for being the 3rd among 229 students.
Strong knowledge of C++ and excellent understanding of computer science fundamentals, algorithms, data structures, software architecture patterns and object-oriented programming.
Strong knowledge of Python with a focus on the development of machine learning and data analysis solutions.
Experience with PyTorch machine-learning framework.
Broad expertise in different AI fields/aspects: Computer Vision, Deep Learning, Natural Language Processing (NLP) and Large Language Models (LLMs).
Experience with AI and software development tools/libraries such as Git, MLflow, Hugging Face, Wandb and Pandas.
Experienced working in SCRUM teams and advocate of automated CI/CD pipelines together with Unit and Integration tests as a way to deliver good and reliable software.
Cybersecurity advanced skills: pentesting, forensics, malware analysis, intrusion detection and risk analysis. Ability to develop secure software applications.
Fair knowledge of other programming technologies/languages/frameworks: Java, Android development and Game development (Unity).
Strong problem solving and troubleshooting skills.
Good interpersonal and communication skills with effective listening capability: a team player and collaborator.
Ability to be detail oriented and ensure work produced is of high quality.
Enjoying working on multicultural teams.