Resume
Carlos Alberto Bastos de Oliveira
Professional experience
Technical leadership: development and deployment at scale of Predictive Traits - a customer facing product that allows marketers to easily create multivariate, machine learning models to predict user propensity to perform an arbitrary action. The product allows marketers to leverage advanced ML techniques without the need for deep technical knowledge, with just a few clicks, and using the user data they already track through Segment.
Mentored 6 Machine Learning Engineers, from entry to Staff level, raising the bar for best practices. Cross-functional collaboration with infrastructure and platform Software Engineers and Product stakeholders.
Technical leadership: development and deployment of Machine Learning based systems integrated with a new flagship tax product offering that connects customers with experts for a revolutionary tax preparation marketplace. Expert augmentation powering customer service scalability while ensuring high tax return quality standards. Patent US 2023/0030405.
Developed and deployed a system to create concise product call summaries using sequence-to-sequence and siamese transformers. Increased call summary coverage from 20% to 90% and allowed call center experts to focus on serving the customer. Recipient of the 2021 Scott Cook Innovation award. Patent US 2023/0036688.
Mentored Senior level Data Scientists, promoting professional development and technical best practices.
Technical Lead of a cross-functional team that designed, built and deployed the first Machine Learning model interacting live with corporate systems.
Actively contributed to foundational and domain specific python repositories that improved reusability, scalability, generalizability and adoption of best coding practices. Introduced best practices for repository and project documentation.
Mentored Data Scientists and introduced new successful Machine Learning approaches to insurance and financial business use cases, leveraging and adapting methods used in clinical and survival analysis.
Used RNNs for sequential decision modeling and automation; successfully combined ensembling methods and semi-supervised learning techniques for time-to-event and/or n<<p problems.
Data analysis and Machine Learning consultant.
Top Rated profile.
Developed fully integrated molecular diagnostics for Personalized Medicine in a cross-functional setting, combining Machine Learning and Laser Desorption Ionization Mass Spectrometry for the creation of new proteomic blood based tests with clinical application.
Supervised a team of 2 Data Scientists and focused on creating an experiment driven and fluid environment to test the feasibility of a constant pipeline of potential projects.
Co-inventor of 3 granted patents (US 9,779,204, US 10,007,766 and 10,037,874) for methods combining Machine Learning and Mass Spectrometry with clinical applications in prostate cancer, hepatocellular carcinoma and immunotherapy of melanoma.
Research for optimization of detectors used in Neutrinoless Double Beta Decay and Dark Matter Searches. Data acquisition, processing, analysis and modeling.
Focused on the study of xenon additives for improved performance in terms of energy resolution and aiming the sensing of Weakly Interacting Massive Particles (WIMPs) induced nuclear recoils directionality at monolithic massive detectors.
Taught Physics to Timorese teachers in the scope of a Night Bachelor studies plan to build up the Timorese high school system.
Monte Carlo simulations of electroluminescence in noble gases achieving agreements with experimental results better than 2 %, helping the design of the next generation of massive (ton-scale) particle detectors.
Developed algorithms and software for X- and Gamma-ray imaging that have supported, since their inception, research in Medical Imaging and Particle Physic and have been leveraged to produce dozens of peer-reviewed publications.
Patents
US 11,150,238 | Granted Oct 19 2021 | Method for identification of cancer patients with durable benefit from immunotherapy in overall poor prognosis subgroups
US 10,950,348 | Granted Mar 16 2021 | Predictive test for patient benefit from antibody drug blocking ligand activation of the T-cell programmed cell death 1 (PD-1) checkpoint protein and classifier development methods
US 10,713,590 | Granted on Jul 14th, 2020 | Bagged filtering method for selection and deselection of features for classification
US 10,037,874 | Granted on Jul 31st, 2018 | Early detection of Hepatocellular Carcinoma in high risk populations using MALDI-TOF Mass Spectrometry
US 10,007,766 | Granted on Jun 26th, 2018 | Predictive test for melanoma patient benefit from antibody drug blocking ligand activation of the T-cell programmed cell death1(PD-1) checkpoint protein and classifier development methods
US 9,779,204 | Granted on Oct 3rd, 2017 | Predictive Test for Aggressive or Indolence of Prostate Cancer from Mass Spectrometry of Blood-Based Sample
Skills
Scientific fields / techniques
Machine Learning
Supervised learning
Semi-supervised learning
Data mining
Classification
Regression
Recommender systems
Deep Learning
Regularization (ridge, LASSO, extreme dropout, …)
p>>n classification problems
Clustering
Proteomics
Experimental Particle Physics
Clinical statistics
Algorithms
Xgboost
kNN
Linear regression
Logistic regression
RNNs
Random forests
Transformers
PCA, ensembled PCA
Protein Set Enrichment Analysis
Programming / scripting languages
Matlab
Python (10+ yrs)
SQL
Tools
matplotlib
mkdocs
numpy
pandas
pydantic
pySpark
PyTorch
scikit-learn
sphinxgit, github
Jupyter notebooks
Latex
Linux
Sagemaker
Visual Studio Code
Languages
Portuguese (native)
English (fluent)
Awards
Scott Cook Innovation Award (2021, Intuit)
Hamamatsu best poster in Experimental Physics of the 13th International Conference on Topics in Astroparticle and Underground Physics (2013, Asilomar, CA, USA)
IEEE NSS/MIC/RTSD Trainee Award (2008, 2009 and 2011)
Silver medal, Portuguese Chemistry Olympiads (2003, Portugal)
Bronze medal, Ibero-American Chemistry Olympiads (2003, Mexico)
Education
PhD in Physics, University of Aveiro, Aveiro, Portugal, 2011
BsC in Physics, University of Aveiro, Aveiro, Portugal, 2007