📍 Buenos Aires · 📊 Data & ML · Exploring AI, security, and robotics

Working across data engineering, machine learning, and how AI fits into real systems.
I enjoy taking messy real‑world data, turning it into something usable, and then building small products or tools on top of it.

I’m finishing a degree in Business and Technology and collecting data‑focused certifications, trying to sit at the intersection of tech, data, and real business problems.
I’m also slowly getting deeper into robotics and how it connects with modern AI.

🍭 OpportunityRadar – Web app that scrapes many sources (forums, reviews, socials) to spot complaints, friction points, and feature requests; the goal is to surface business opportunities where people are already asking for change.

🎯 KeyCursor – Free macOS app to move the cursor, scroll, and click using only the keyboard, built for fast, ergonomic, and distraction‑free workflows.

👁️ Accessibility Vision App (Hackathon) – Prototype built at a hackathon that combines computer vision, text‑to‑speech, and speech‑to‑text to help blind and visually impaired users interact with their environment more easily.

📊 Punta Chica Data Platform – End‑to‑end data engineering project for a tennis academy: ingesting Excel data, cleaning and modeling it with Python + SQL, loading into a MySQL “mini‑warehouse”, and building Tableau dashboards for operations and performance tracking.

🧠 LLM & RAG Prototypes – Experiments around retrieval pipelines, evaluation, and basic LLM benchmarking to understand how models behave on realistic tasks.

🛡️ Security & Agents – Exploring data‑leak risks, prompt injection, and how to design agent behaviors when they have access to real data and tools.

💻 Internal Chatbot for Company Docs – Agent that connects to internal document sources (e.g. SharePoint) to answer questions and speed up knowledge discovery inside a company.

📈 Data & Analytics Utilities – Reusable scripts and small services for ETL, data quality checks, and quick dashboards.

🧮 ML & Deep Learning Notebooks – Implementations from courses and self‑study: classical ML, deep learning, and experiments on real datasets.

📑 Analysis & Homework Repos – Data analysis and small projects that document my learning path in Python, SQL, statistics, and ML.

• Building data, ML, and security‑related projects to learn by shipping, not just by reading.
• Designing workflows where AI is part of the engineering toolbox (IDE, terminal, notebooks) instead of a separate toy.
• Moving from quick scripts to small but robust services and internal tools, with proper data modeling and monitoring.

• X / Twitter: https://x.com/nicoespa2
• LinkedIn: https://www.linkedin.com/in/npspagnuolo/
• Email: nicolasspagnuolo4@gmail.com
• GitHub: @nicospagnuolo

“Ship to learn” – I prefer small, end‑to‑end projects that touch real data, users, or constraints.
I care about how we can make AI‑driven systems secure, observable, and reliable enough for serious use.

• Finishing a degree in Business and Technology and constantly taking data/ML‑related certifications.
• Interested in robotics and how it connects with modern AI and data pipelines.
• I like going to the gym, traveling, and creating things (tools, products, experiments).
• Use AI daily for coding, research, and fast prototyping.