Professional Overview
Graduated in Systems Engineering and Computer Science with experience in data science and artificial intelligence, having participated in data analysis and processing projects using Python, the application of machine learning techniques, and process automation through AI-based solutions. And support decision-making through the strategic use of data
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- I developed intelligent agents using Microsoft Copilot Studio and Power Automate
- I implemented data processing flows by integrating the OpenAI API
- I performed exploratory data analysis to identify patterns, assess data quality,
AI Expertise
Skills
Employment Type
Description of Responsibilities
- I developed intelligent agents using Microsoft Copilot Studio and Power Automate
- I implemented data processing flows by integrating the OpenAI API
- I performed exploratory data analysis to identify patterns, assess data quality,
Education
Field of Study: Machine Learning, Software Engineering, Management
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
