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Lucas Rodrigues

@lucasrodrigues3

AI Developer at VMI Security building production computer vision and multimodal systems for threat detection and customs.

Brazil

Message

At VMI Security, I develop and deploy computer vision models that detect threats in x-ray images, including object detection, image classification, and anomaly analysis. These systems are in production across airports, ports, prisons, and factories.

I’ve also developed invoice text-classification models, fine-tuned open-source LLMs such as Llama 3, and designed and deployed a multimodal AI system for mission-critical border customs operations.

Before VMI Security, I contributed to a fraud-prevention data lake at BRT Intelligence and developed ETL pipelines and data warehouses at Big Data. Outside of work, I’m a solopreneur in Agentic AI, with four live products that use LLM calls organized with LangChain.

Experience

Work history, roles, and key accomplishments

Current

Artificial Intelligence Developer

Current

VMI Security

Apr 2023 - Present (3 years 6 months)

Achievements:
- Developed and deployed Computer Vision Models for threat detection in x-ray images such as object detection, image classification, and anomaly analysis. These systems are in production in airports, ports, prisons and factories world wide.
- Developed and deployed text-classification models for invoice analysis
- Fine tuned open source LLM's (such as Llama 3) to tailor it to write o

Data Engineer

BRT Intelligence

Jan 2023 - Mar 2023 (2 months)

Achievements:
- Contributed with company’s Data Lake construction for structured and unstructured data for fraud prevention
Technologies used: Python, SQL, Git, Apache Airflow, AWS RDS

Data Engineer

Big Data

Nov 2021 - Jan 2023 (1 year 2 months)

Achievements:
- Developed and mantained ETL (Extract, Transform, Load) pipelines for transactional data of large retail companies from the pharmaceutical sector.
- Modeled and maintained data warehouse for corporate data for both Data Science and Business Analysis data consumption.
Technologies used: Python, SQL, several AWS services, Apache Airflow and Docker

Product Development Engineer

Embraer

Nov 2018 - Nov 2021 (3 years)

Achievements:
- Planned and performed several material testing campaigns to determine material properties and evaluate their compliance with international standards.
Technologies used: Python and Scikit-Learn.