I am a Data Science and AI specialist with a strong background in Full Stack Development, focused on building practical data-driven systems that deliver real business value.

My work sits at the intersection of data, machine learning, and software engineering. I design and develop end-to-end solutions including data pipelines, machine learning models, analytics dashboards, and AI-powered applications.

With several years of experience in modern web development, I bring a unique advantage to data projects by being able to build the entire lifecycle of data products, from data ingestion and model development to deployment and user-facing applications.

I have worked in Argentina, China, Russia, and the United States, collaborating with international teams and multicultural environments. This experience has shaped my ability to communicate across disciplines and build solutions for global users.

• Python ecosystem: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
• Machine Learning: Supervised Learning, Unsupervised Learning, Feature Engineering, Model Evaluation, Cross Validation
• Data Analysis: Statistical analysis, exploratory data analysis (EDA), data cleaning, feature transformation
• AI & LLM Systems: OpenAI API, LangChain, LangGraph, prompt engineering, RAG pipelines
• Experimentation: model comparison, evaluation metrics, pipeline optimization

• SQL, relational databases, data modeling
• ETL pipelines and data processing workflows
• Jupyter Notebooks, Google Colab and experiment environments
• Data preparation and feature pipelines

• Python visualization libraries

• Frontend: React, Next.js, Redux, Framer Motion, Gatsby.

• Backend: Node.js, Express.js, REST APIs, GraphQL.

• Databases: MySQL, MongoDB, Supabase, Firebase.

• Deployment & Infrastructure:Docker, Git and GitHub workflows, Vercel, Netlify, Hostinger.

• Other Developer Tools: Jest, Axios, Figma, Notion.

Universidad Tecnológica Nacional (UTN) Buenos Aires, Argentina Programming Studies

Much of my current expertise has been developed through hands-on projects and specialized programs in data science, machine learning, and analytics.

I am currently focused on building projects in:

• Applied Machine Learning • AI-powered applications • Data pipelines and analytics systems • Fintech-related data products • LLM-based tools and intelligent assistants

Many of my projects combine data science with real product development, including dashboards, APIs, and interactive applications.

My approach to learning is highly practical and project-driven. I continuously improve my skills by studying:

• Official documentation • Research papers and technical blogs • GitHub open-source projects • Courses on Coursera, edX, and other platforms

I believe the best way to learn is by building real systems and solving real problems.

• 🇦🇷 Spanish: Native (Argentinian)
• 🇺🇸 English: Advanced (TEFL Certified)
• 🇨🇳 Chinese: Upper-Intermediate (HSK4)
• 🇷🇺 Russian: Intermediate (РВП/ВНЖ Certificates)

• Technology and artificial intelligence
• Data science and analytics
• Fintech innovation
• Reading nonfiction
• Playing the piano
• Working across cultures and languages

📈 My Stats

Languages and Tools