IT professional with training and sales background, currently sharpening my skills in Cloud Engineering, AI Agents & Automations.
With experience as a technical trainer, I combine analytical problem-solving with a strong passion for training and mentoring others.
My IT journey began in 2007, when computers and smartphones were less common. I started by studying for an IT degree, which gave me a strong foundation in tech fundamentals.
Then, I had the opportunity to work at the first Apple Store in Marbella, MΓ‘laga, Spain, gaining firsthand experience in sales, tech support, and customer service within a rapidly evolving industry.
Following that, I embarked on a journey around the world (USA, UK, Germany and Spain), working in training and sales across IT, sports, and languagesβmy three passions.
Creation and implementation of efficient and robust AI Agents and Automations (RPA).
Integration of services and data in the cloud, ensuring scalability and security.
Native
Proficient (C2)
Intermediate (B2)
Intermediate
Interested in deploying and scaling IT solutions using cloud platforms.
Focused on building intelligent AI agents and automating processes to improve efficiency and decision-making.
Excited about exploring new algorithms, improving predictive models, and developing impactful data-driven solutions.
Blending data science with educational/training tools to enhance learning experiences.
Overview: RPA solution that automates invoice processing in ACME's web app using a Dispatcher/Performer architecture.
Features:
Tech Stack: UiPath Studio, UiPath Orchestrator, REFramework
Overview: A capstone research project investigating whether AI assistants and RPA platforms augment or threaten IT operations professionals.
Features:
Tech Stack: GitHub Copilot, UiPath, Power Automate, Make, Zapier, n8n
View Research ProjectOverview: A wellness platform for remote workers to track activities, stress levels, weight, and mobility tests.
Features:
Tech Stack: Python, Streamlit, PostgreSQL (Neon), psycopg2, dotenv
Overview: ML project predicting malware detections on Windows machines.
Features:
Tech Stack: Python, Pandas, Scikit-learn, Jupyter
View ProjectOverview: A series of coding challenges across various domains.
Features:
Tech Stack: Python, Flask, Shelve DB, HTML, CSS, JavaScript
View ChallengesOverview: Analysis of shark attacks data for Olympic athletes insurance rates.
Features:
Tech Stack: Python, Pandas, Data Analysis
View Analysis