Lucas Cabral
Senior Software Engineer | AI & Data Platforms (Internal Systems) @ Dia Food Service
About
I’m a Senior Data, AI, and Software Engineer with 8+ years of experience working at the intersection of business strategy, data systems, automation, and applied artificial intelligence. I hold a Bachelor’s degree in Business from Universidade Católica de Pernambuco, a postgraduate degree in Technology, Innovation, and Intelligence from CESAR School, and I am currently pursuing an MBA in Artificial Intelligence and Data Science at Senac, with a strong focus on applied AI, analytics, and real-world business systems. At Dia Food Service, I work in a hybrid leadership role bridging software engineering, data engineering, analytics, and business decision-making. I lead initiatives that transform operational and commercial data into scalable decision-support platforms, supporting both B2B and B2C e-commerce operations. My work includes: Designing KPI frameworks, BI dashboards, and internal analytics platforms Building data pipelines and analytical layers for reliable decision-making Automating ERP and sales workflows using Python Prototyping AI-driven solutions for sales forecasting, customer segmentation, and inventory optimization I bring a rare combination of business ownership mindset and hands-on technical execution, enabling me to translate complex operational problems into robust, scalable systems. I’m particularly motivated by building internal platforms, applying AI pragmatically, and creating data-driven environments that improve efficiency, scalability, and decision quality across teams.
Brazil
Recife
Computer Software
TensorFlow, Keras, Data Science, NVIDIA AI, GPU, gpu, RAG, Crypto, MLOps, Machine Learning Engineer, Agile Scrum Master, Scrum Master , Natural Language Processing (NLP), Computer Vision, AI Ethics, Prompt Engineering, IBM Watson Studio, Retrieval-Augmented Generation (RAG), Large Language Models (LLM), API Development
Experience

Senior Software Engineer | AI & Data Platforms (Internal Systems)
Recife, Pernambuco, Brazil
Dia Food Service is a supply chain and sales-driven company operating across B2B and B2C commercial channels. I operate in a hybrid senior role leading initiatives that connect software engineering, data platforms, automation, and applied AI to real commercial and operational needs. My focus is translating supply chain and sales demands into scalable, secure internal systems and decision-support platforms that improve efficiency, reliability, and data-driven execution. Led the design and evolution of internal data, automation, and analytics platforms used across multiple business units, incorporating secure architecture, access control, and governance practices. Architected and implemented Python-based automation systems, data pipelines, and ERP integrations, reducing manual processes and accelerating operational analysis while ensuring secure API communication and controlled data access. Designed standardized KPIs, dashboards, and analytical reporting layers ensuring data consistency, traceability, and auditability across operational workflows. Developed applied AI and advanced analytics solutions supporting prioritization, forecasting, and performance analysis across sales, logistics, and financial operations. Designed and deployed LLM-powered automation workflows with guardrails, controlled execution paths, and context isolation to ensure predictable and secure AI behavior in production environments. Act as a bridge between engineering and business stakeholders, driving process improvement, platform reliability, and measurable business impact through technology, automation, and applied AI.

Estágiario - auditoria (auditoria interna)
Recife Area, Brazil
Estágio enfatizando a área de auditoria interna no mundo Corporativo, com ênfase em planejamento e controle, analisando melhorias de processos e inventariando quando preciso os bens e serviços terceirizados da empresa. Com foco maior no lançamento e organização de data de pagamento e pedido de compra, das contas financeiras.
Education

Artificial Intelligence and Data Science
Active participation in data analytics and artificial intelligence projects, with a strong focus on applied statistics, data modeling, machine learning, and data visualization. Experience includes leading and contributing to machine learning, deep learning, and automation projects, as well as participating in study groups, hackathons, and hands-on initiatives. Worked extensively with Python, Excel, Power BI, and R, applying these tools to real-world datasets and analytical challenges, while also leading small teams and study groups focused on machine learning, deep learning, and AI-driven automation.
Lucas Cabral's Contact Information
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