my resume

resume.json

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  "basics": {
    "name": "Bernardo Galvão",
    "label": "ML Engineer",
    "image": "https://avatars.githubusercontent.com/u/17158288?v=4",
    "email": "bernardo@kintsugi-mlops.com",
    "url": "https://bernardo-galvao.dev",
    "summary": "Jack-of-all-trades Data Scientist turned MLOps Engineer. My combined experience in Data Science and Software Engineering is resulting in the perfect positioning for this new area of expertise. Currently acquiring DevOps skills and counting. Hire me if you need someone to operationalize the Machine Learning.\n",
    "location": {
      "city": "Funchal",
      "countryCode": "PT",
      "region": "Madeira"
    },
    "profiles": [
      {
        "network": "GitHub",
        "username": "bgalvao",
        "url": "https://github.com/bgalvao"
      },
      {
        "network": "LinkedIn",
        "url": "https://linkedin.com/in/bcgalvao",
        "username": "bcgalvao"
      }
    ]
  },
  "work": [
    {
      "name": "CardoAI",
      "location": "Remote",
      "position": "MLOps Engineer",
    },
    {
      "name": "MRIcons Ltd.",
      "location": "Remote",
      "description": "Advanced Magnetic Resonance Imaging (MRI) software company",
      "position": "MLOps Engineer (Contractor)",
      "url": "https://mricons.eu",
      "startDate": "2021-10-01",
      "summary": "Operationalized training cycles and deployments of machine learning models.",
      "highlights": [
        "Developed Docker Swarm stacks for deployment of MLOps services, including a model registry (MLFlow); databases (Postgres and Redis); a reverse‐proxy (Traefik) with an authentication service; a workflow orchestrator (Prefect); Grafana and Prometheus.",
        "Designed an on‐prem MLOps solution to provide end‐to‐end services for frictionless training, validation, deployment and monitoring of ML models based on Open‐Source software, including a CI/CD component for ML.",
        "Designed a workflow template using DVC for Data Scientists to confidently develop datasets and models with unit testing integrating a CI/CD pipeline written in GitLab CI/CD specification.",
        "Developing a schema validation suite with Great Expectations to test data integrity from a Data Warehouse.",
        "Wrote tests and GitLab CI pipelines for deployment of thoroughly tested models on their data and performance. Wrote Gitlab CI pipelines for automated deployment of Docker Stacks.",
        "Deployed a Kubernetes cluster including Istio Ingress Gateway and Seldon CRDs for model deployment and monitoring.",
        "Optimized performance of data queries and transformations using optimized memory formats Apache Arrow and DuckDB."
      ]
    },
    {
      "name": "Champalimaud Foundation [Computational Clinical Imaging Group]",
      "location": "Remote",
      "description": "Computational Imaging Research unit for Cancer Treatment",
      "position": "Research Fellow",
      "url": "https://fchampalimaud.org/research/groups/papanikolaou",
      "startDate": "2020-01-01",
      "endDate": "2021-07-01",
      "highlights": [
        "Deployed MLFlow server for experiment tracking and experiment data collection.",
        "Conducted research on performance feature selection methods applied to radiomics for clinical decision‐making.",
        "Implemented Target Shuffling robustness check and Nested Cross‐Validation procedure for use by other members in the team."
      ]
    },
    {
      "name": "Madeira Interactive Technologies Institute",
      "location": "Funchal, Madeira, Portugal",
      "position": "Data Scientist",
      "startDate": "2018-06-01",
      "endDate": "2020-02-01",
      "highlights": [
        "Implemented an object detection viewer and trained a marine‐species object detector via transfer learning.",
        "Automated dataset processing, model training and Tensorflow model format conversion to TensorFlowJS and TensorFlow Lite using Docker, Python and Bash.",
        "Provided a user‐friendly CLI for pulling, configuring and training models from TensorFlow’s Object Detection API.",
        "Implemented process for cooperative collection, annotation and augmentation of training images.",
        "Analyzed social media data activity levels per location, including profiling points of interest on Madeira island via topic modelling of TripAdvisor reviews with Latent Drichlet Allocation.",
        "Performed data wrangling and analysis to assess performance of low‐cost air quality sensors."
      ]
    },
    {
      "name": "Eyeware",
      "url": "https://eyeware.tech",
      "location": "Lisbon, Portugal",
      "position": "Software Engineering Intern",
      "startDate": "2017-11-01",
      "endDate": "2018-02-01",
      "highlights": [
        "Developed a raycasting prototype in order to produce an attention heatmap on a 3D object using NumPy and VTK in Python."
      ]
    }
  ],
  "publications": [
    {
      "name": "Prediction of Prostate Cancer Disease Aggressiveness Using Bi‐Parametric MRI Radiomics",
      "url": "https://pubmed.ncbi.nlm.nih.gov/34885175/",
      "publisher": "Cancers",
      "releaseDate": "2021-12-01"
    },
    {
      "name": "A Parallel and Distributed Semantic Genetic Programming System",
      "url": "https://ieeexplore.ieee.org/document/7969304",
      "publisher": "2017 IEEE Congress on Evolutionary Computation (CEC)",
      "releaseDate": "2017-07-07"
    }
  ],
  "education": [
    {
      "institution": "Nova Information Management School  (IMS)",
      "url": "https://www.novaims.unl.pt/pt/ensino/cursos/pos-graduacoes-e-mestrados/mestrado-em-data-science-and-advanced-analytics/",
      "area": "Data Science and Advanced Analytics",
      "studyType": "MSc",
      "startDate": "2015-09-01",
      "endDate": "2017-06-01",
      "score": "17/20",
      "courses": []
    },
    {
      "institution": "Católica-Lisbon School of Business and Economics",
      "url": "https://www.clsbe.lisboa.ucp.pt/catolica-lisbon-school-business-economics",
      "area": "Economics",
      "studyType": "BSc",
      "startDate": "2011-09-01",
      "endDate": "2014-12-15",
      "score": "14/20",
      "courses": [
        "Microeconomics",
        "Macroeconomics",
        "Econonometrics"
      ]
    }
  ],
  "projects": [
    {
      "name": "nodevo",
      "description": "An implementation of Genetic Programming in Rust.",
      "keywords": [
        "Rust",
        "Genetic Programming",
        "Evolutionary Computation",
        "AST",
        "Symbolic Regression"
      ],
      "url": "https://github.com/bgalvao/nodevo",
      "type": "code"
    },
    {
      "name": "a-priori",
      "description": "Extracting association rules from a market-basket dataset using the A-Priori counting strategy.",
      "keywords": [
        "Java",
        "Hadoop",
        "Big Data",
        "MapReduce"
      ],
      "url": "https://github.com/bgalvao/a-priori",
      "type": "code"
    }
  ],
  "languages": [
    {
      "language": "Portuguese",
      "fluency": "Native"
    },
    {
      "language": "English",
      "fluency": "Proficient"
    }
  ],
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    "lastModified": "2017-12-24T15:53:00",
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