Íñigo Cirauqui

AI/ML and software engineer with over 10 years of experience designing and building production systems, from classical machine learning and computer vision to generative and agentic AI.

Currently

Head of AI Engineering at Guardare, leading the development of AI-powered cybersecurity capabilities, including agentic systems, RAG, automated security analysis, and intelligent recommendations. Founder of ICIRAUQUI SL, an independent technology consultancy delivering AI/ML, software engineering, and R&D projects for international clients since 2022, both independently and by assembling and leading dedicated engineering teams. My background combines hands-on engineering, software architecture, and technical leadership, alongside ongoing PhD research in Computer Science focused on machine learning and computer vision.

HEAD OF AI ENGINEERING at Guardare Inc. (2025-01 – Present)

• Lead the design and development of production AI systems for an enterprise cybersecurity platform, combining machine learning, generative AI, and agentic architectures.
• Architected AI agents and RAG pipelines for automated security analysis, natural-language reporting, and actionable recommendations aligned with NIST and other security frameworks.
• Developed hybrid AI/ML systems combining LLMs, classical machine learning, and rule-based reasoning for risk assessment, vulnerability prioritization, and remediation guidance.
• Built and integrated security data pipelines for infrastructure scanning, asset classification, vulnerability intelligence, and third-party security integrations.
• Lead cross-functional engineering teams, defining technical architecture and integrating AI capabilities with backend services, databases, and enterprise applications.
• Oversee cloud deployment and orchestration of scalable, multi-tenant AI services on Azure, ensuring reliability, security, and isolation.
• Technologies: Python, Rust, C++; LLMs, Agentic AI, RAG, PyTorch, OpenAI API; PostgreSQL, Azure, Docker, Kubernetes.

FOUNDER & PRINCIPAL AI ENGINEER at ICIRAUQUI SL (2022-01 – Present)

• Founded and lead an independent AI and software engineering consultancy, delivering international projects from R&D and prototyping to production, both independently and by assembling and leading engineering teams.
• Designed and deployed LLM-powered applications and intelligent automation solutions, integrating commercial and self-hosted models with enterprise systems and workflows.
• Developed privacy-preserving machine learning frameworks using federated learning, differential privacy, and in-database ML with C++, Rust, Python, and PostgreSQL.
• Built computer vision and 3D reconstruction solutions using Structure from Motion, image processing, and machine learning for industrial and visual applications.
• Architected end-to-end engineering platforms, replacing legacy workflows with Flutter frontends, Python backends, PostgreSQL databases, and optimized C# computational engines.
• Applied machine learning and optimization to industry-specific challenges, including risk prediction, logistics optimization, and automated quality control.
• Technologies: Python, C++, Rust, C#, Flutter/Dart; PyTorch, OpenCV, COLMAP, LLMs; PostgreSQL, Azure, Docker, Kubernetes.

MACHINE LEARNING PROFESSOR at CESTE (2023-09 – 2025-05)

• Designed and delivered comprehensive Machine Learning courses for Bachelor’s and Master’s degree students.
• Topics: linear regression, logistics regression, decision trees, feature engineering, unsupervised learning, support vector machines, neural networks (linear, convolutional, recurrent, etc.), reinforcement learning (on/off policy), federated learning, graph neural networks, probabilistic methods (probabilistic graphical models, variational inference), large language models.
• Technologies: Keras/Tensorflow, Pytorch, Scikit-Learn, Python.

LEAD MACHINE LEARNING ENGINEER at Devfi Inc (2022-04 – 2023-03)

Project Contract

• Led R&D in Privacy-Preserving Federated Learning, developing a custom ML framework from scratch in C++, Rust, and Python, supporting neural networks, probabilistic models, and reinforcement learning.
• Integrated differential privacy into learning algorithms and developed PostgreSQL extensions for secure, in-database machine learning.
• Architected a federated learning framework combining in-database ML with distributed execution across edge environments using Cloudflare Workers.
• Technologies: C++, Python, Rust, PyTorch, TensorFlow, PostgreSQL, Cloudflare Workers.

IT MANAGER & LEAD ERP DEVELOPER at SMR Automotive Systems (2018-12 – 2022-11)

• Led IT operations and ERP development for an automotive manufacturing plant, managing a team of 3 on-site and coordinating remote teams. Member of the plant’s management board.
• Developed ERP applications for finance, logistics, and production using QAD, SAP, Progress 4GL, and ABAP, including MES integration for manufacturing control.
• Coordinated the QAD-to-SAP ERP migration, developing data cleansing, transformation, and migration frameworks.
• Developed and deployed Computer Vision and ML solutions for industrial applications, including ADAS stereo camera calibration and real-time quality inspection using YOLO, U-Net, and CNNs.
• Improved IT, infrastructure, and security KPIs from 80 to over 95%, while delivering financial process improvements that reduced OPEX by 10%.
• Supported industrial project launches and sales quotations, coordinating technical requirements and customer-facing activities.
• Technologies: C++, Python, Progress 4GL, ABAP, OpenCV, PyTorch, SQL Server, QAD, SAP, Power BI.

LOGISTICS MANAGER at SMR Automotive Systems (2020-11 – 2021-06)

• Temporarily led the Logistics Department, managing a team of 7 alongside my IT Manager responsibilities during a management transition.
• Managed new automotive project launches, including quotations, packaging design, production sequencing, and supplier coordination.
• Optimized supply chain operations and production planning, reducing stock on hand by up to 30% in 3PL warehouses and improving inventory, freight, and delivery KPIs.

SUPPLY CHAIN ANALYST at SMR Automotive Systems (2017-07 – 2018-11)

QC ENGINEER at Libelium Comunicaciones Distribuidas (2016-04 – 2017-06)

PhD in COMPUTER SCIENCE (In progress)

Master’s Degree in INDUSTRIAL ENGINEERING (2022-09)

Bachelor’s Degree in MECHANICAL ENGINEERING (2021-06)

Bachelor’s Degree in INDUSTRIAL TECHNOLOGIES ENGINEERING (2016-06)