I design and build AI systems that automate real business workflows and turn data into practical decision tools. My experience combines AI engineering, automation, and applied data science. I have built AI chatbots and conversational assistants that handle customer interactions, process requests, and trigger operational workflows by integrating messaging platforms with databases and APIs. One example is a chatbot system connected to a centralized database that automatically manages travel inquiries, checks availability, and coordinates operational tasks that were previously handled manually. In addition to AI assistants, I design automation pipelines and AI agents that connect internal tools, databases, and external services. I work with Python, APIs, SQL databases, and workflow orchestration platforms to build systems that can retrieve information, execute tasks, and support teams in their daily operations. I also have experience developing data systems and analytical tools. I have built software for trading research and backtesting that processes historical market data, evaluates strategies, and generates statistical insights to support decision-making. This work required designing data pipelines, performing quantitative analysis, and creating reliable evaluation frameworks. My focus as an AI engineer is building practical AI systems that integrate into real environments: AI agents, automation workflows, data pipelines, and decision-support tools that help organizations operate more efficiently and scale their processes.

Valentin Alvarez Lamas

I design and build AI systems that automate real business workflows and turn data into practical decision tools. My experience combines AI engineering, automation, and applied data science. I have built AI chatbots and conversational assistants that handle customer interactions, process requests, and trigger operational workflows by integrating messaging platforms with databases and APIs. One example is a chatbot system connected to a centralized database that automatically manages travel inquiries, checks availability, and coordinates operational tasks that were previously handled manually. In addition to AI assistants, I design automation pipelines and AI agents that connect internal tools, databases, and external services. I work with Python, APIs, SQL databases, and workflow orchestration platforms to build systems that can retrieve information, execute tasks, and support teams in their daily operations. I also have experience developing data systems and analytical tools. I have built software for trading research and backtesting that processes historical market data, evaluates strategies, and generates statistical insights to support decision-making. This work required designing data pipelines, performing quantitative analysis, and creating reliable evaluation frameworks. My focus as an AI engineer is building practical AI systems that integrate into real environments: AI agents, automation workflows, data pipelines, and decision-support tools that help organizations operate more efficiently and scale their processes.

Available to hire

I design and build AI systems that automate real business workflows and turn data into practical decision tools.

My experience combines AI engineering, automation, and applied data science. I have built AI chatbots and conversational assistants that handle customer interactions, process requests, and trigger operational workflows by integrating messaging platforms with databases and APIs. One example is a chatbot system connected to a centralized database that automatically manages travel inquiries, checks availability, and coordinates operational tasks that were previously handled manually.

In addition to AI assistants, I design automation pipelines and AI agents that connect internal tools, databases, and external services. I work with Python, APIs, SQL databases, and workflow orchestration platforms to build systems that can retrieve information, execute tasks, and support teams in their daily operations.

I also have experience developing data systems and analytical tools. I have built software for trading research and backtesting that processes historical market data, evaluates strategies, and generates statistical insights to support decision-making. This work required designing data pipelines, performing quantitative analysis, and creating reliable evaluation frameworks.

My focus as an AI engineer is building practical AI systems that integrate into real environments: AI agents, automation workflows, data pipelines, and decision-support tools that help organizations operate more efficiently and scale their processes.

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Language

English
Advanced

Work Experience

Funded Account Trader at Apex Trader Funding
January 1, 2023 - December 31, 2023
Design and validation of quantitative trading models using applied statistical analysis. Modeling market behavior through hypothesis testing and time series analysis. Backtesting and strategy evaluation with a focus on performance metrics, draw down control, and robustness.
Travel Agent at Soul Travel
January 1, 2025 - December 31, 2026
Evaluation of demand and customer segmentation to optimize offers. Monitoring of sales metrics and performance. Management of operational processes and coordination with suppliers.

Education

First Certificate in English at Cambridge
January 11, 2030 - March 10, 2026
Cambridge Diploma in Data Science and Advanced Analytics at Cambridge
January 11, 2030 - March 10, 2026
Data Science and Advanced Analytics at Universidad Tecnológica Nacional (UTN)
January 11, 2030 - March 10, 2026
Python & Machine Learning, Data Analysis & Statistics, Data Visualization at Universidad Tecnológica Nacional (UTN)
January 11, 2030 - March 10, 2026

Qualifications

IBM Data Science with Python
January 1, 2025 - January 1, 2026

Industry Experience

Software & Internet, Financial Services, Education, Professional Services, Media & Entertainment, Travel & Hospitality