ACVC_en

SUMMARY

Civil Engineer with a solid background in Data Science, Machine Learning (ML), Data Engineering, and Backend Development. Combines a strong theoretical foundation (mathematics, statistics) with practical experience in developing and implementing ML solutions (predictive maintenance, operational optimization). Specialist in designing robust data pipelines (ETL/ELT), interpretable predictive models, and complex integration architectures. Proven technical leadership managing multidisciplinary teams, with a clear focus on solving complex problems, generating strategic value, and operational excellence.

EXPERIENCE

SimpliRoute | Learning Engineer | August 2025 - Present

Architecture and implementation of a fault-tolerant, multi-provider geolocation and geocoding platform, designing decoupled asynchronous pipelines, high-availability fallback strategies, and standardized microservices.
Design and production deployment of enterprise agentic infrastructure leveraging Model Context Protocol (MCP) for logistics engines, establishing deterministic guardrails, least-privilege tool execution boundaries, and distributed state persistence on Kubernetes with Redis.
Large-scale data modeling and event orchestration in Google Cloud (BigQuery, Pub/Sub, and Apache Airflow), ensuring data lineage, operational reliability, and real-time telemetry for optimization systems.
Leadership in Generative AI adoption across development lifecycles (DevEx) and core systems, integrating agentic workflows to streamline automated testing, accelerate delivery cycles, and enhance operational efficiency.

Fracttal | Tech Lead Fracttal Hub | November 2023 - July 2025

Led a multidisciplinary integration team, achieving product development goals and client projects, while prioritizing team mentoring.
Strategic planning of the product roadmap, ensuring alignment with business objectives and continuous value delivery.
Python development for data processing and orchestration libraries, enabling integrations with multiple systems.
Supervision of integration projects, ensuring deadlines and quality in data flows across heterogeneous systems.

Fracttal | Data Scientist | August 2021 - November 2023

Designed and implemented data science processes for predictive maintenance, asset prioritization, and failure estimation.
Collaborated on product creation and development to manage integrations between Fracttal and other platforms.

Fracttal | Data Analyst | February 2020 - July 2021

Developed a predictive maintenance tool using advanced data analysis, predictive statistics, and Machine Learning techniques.
Database design and management alongside web development tasks.

TOOLS & TECHNICAL SKILLS

Programming Languages: Python (Principal/Advanced) | SQL | JavaScript | TypeScript | MATLAB | Java | C# (.NET) | Rust.
Cloud & DevOps: Google Cloud Platform (BigQuery, Cloud Run, Artifact Registry, Google Pub/Sub, Cloud Storage, GKE) | ArgoCD | Git | GitHub | Bitbucket.
Frameworks & Libraries: FastAPI | Pydantic | Pandas | NumPy | Scikit-learn | .NET 9 (WPF / WinUI 3) | FastHTML | LangChain | TensorFlow | Django | React JS.
Databases: PostgreSQL | Redis | BigQuery | SQL Server | MySQL | MongoDB | SQLite.
Containers & Orchestration: Airflow | Airbyte | Docker | Kubernetes.
Management & Communication: Jira | MS Planner | MS Teams | Sharepoint | Notion | Slack | Trello.
Methodologies: Test-Driven Development (TDD) | Agile Methodologies (Scrum & Kanban) | Roadmap Planning.
Key Skills: Model Context Protocol (MCP) | Multi-Agent Systems & LLMs | ML Model Monitoring | Data Extraction & Processing | Data Visualization | Relational DB Design | Technical Leadership | Agentic AI.

EDUCATION

Universidad de Chile | Civil Engineering with a minor in structures, construction, and geotechnics | Graduated 2019, Degree awarded 2020 (Maximum Distinction)
Thesis: Gaussian Processes and vibration modes for delamination detection in composite material plates.
Universidad de Chile | Bachelor of Engineering Sciences, Civil minor | Completed 2017
Notable activity: Teaching Assistant for Probabilities and Statistics.

PUBLICATIONS

Generalized Gaussian smoothing for baseline-free debonding assessment of sandwich panels | Structural Control Health Monitoring - March 2021 (https://doi.org/10.1002/stc.2727)
Methodological proposal for delamination detection and evaluation in composite plates using Gaussian Processes and Bayesian analysis.

LANGUAGES & CERTIFICATIONS

Languages: Spanish (Native) | English (Advanced - EFSET English Certificate C2 Proficient, 2020)
Certifications: React & Django Full Stack (Udemy, 2022) | Mastering Data Visualization (Udemy, 2022) | Applied Machine Learning in Python (Coursera, 2020).

Ana-Catalina Villalobos Contardo