Joaquín Castellano Acuña

Computer Science Student | AI & Cybersecurity Specialist

Buenos Aires, AR.

About

Computer Science student with an international academic background and a strong focus on Artificial Intelligence and Cybersecurity. Proven ability to solve complex problems through algorithmic thinking, demonstrated by winning national-level competitions. Multilingual, adaptable, and experienced in building intelligent systems using Python and modern AI techniques.

Education

St John's School

Argentina
International Baccalaureate (IB) Diploma Mathematics, Economics, Physics, Chemistry

Universidad Argentina de la Empresa (UADE)

Buenos Aires, Buenos Aires, Argentina
→
BSc Computer Science Grade: 9.5/10

Courses

Algorithms

Data Structures

AI

Software Engineering

Awards

Best Physics Student Award

St. John’s School

Recognized for outstanding academic performance and comprehensive understanding in Physics during the rigorous International Baccalaureate program.

1st Place – UADE Algorithmic Cup

Universidad Argentina de la Empresa (UADE)

Achieved first place in a competitive algorithmic programming challenge, demonstrating superior problem-solving and coding efficiency against a strong field of participants by developing an advanced AI chatbot using Python, NLP, and probabilistic ranking, by significantly improving response accuracy and user interaction.

Languages

English

Spanish

Italian

Skills

Programming Languages

Python, SQL.

AI & Data Science

Natural Language Processing (NLP), Text Processing, Stemming, Semantic Similarity, Probability-based Ranking Systems, Machine Learning Fundamentals, Data Analysis.

Development Tools

Git, GitHub, Figma.

Methodologies & Concepts

Algorithms, Data Structures, Cybersecurity Fundamentals, Agile, Scrum.

Professional Skills

Problem-solving, Team Collaboration, Adaptability, Analytical Thinking, Creativity, Public Speaking, Technical Presentation, Research, Communication, Pattern Recognition.

Interests

Technology

Artificial Intelligence, Cybersecurity, Competitive Programming.

Business & Innovation

Startups, Innovation.

Arts

Music Production, Piano.

Projects

AI Chatbot with NLP & Probabilistic Ranking

UADE + PwC Algorithmic Hackathon – Winning Project

Summary

•Built an advanced chatbot in Python from scratch • Implemented NLP techniques (stemming, semantic similarity, text preprocessing) • Applied Levenshtein distance to handle typos and improve matching accuracy • Designed a probability-based ranking system for responses • Integrated logging + user interaction analysis for continuous improvement • Developed under Scrum methodology with iterative sprints