AssessFirst

Working along the science team to push AI projects even further, from research to production!

Machine Learning Engineer

Tinyclues

Wok alongside the R&D team to develop and deploy multi tenant ML pipelines in AWS and GCP clouds, a key aspect of the company product.

Developed a new model to take advantage of user databases, in order to do transfer learning to a recommender system architecture (Deep Factorization Machine). Also, as a member of the production squad, developed many projects to deploy models and ensure performance as well as data quality.

- PyTorch, Docker, Git, Tensorflow Data Validation, Kubeflow, AWS;
- Improved diversity by 5% while enhancing the area under curve;

Data Scientist Intern

OSO-AI

Worked on a startup project in domain adaptation for acoustic scene classification, in order to enhance performance of the current method in mobile devices. Implemented an unsupervised method based on adversarial training. 

- Pytorch framework;
- Improved accuracy performance of DCASE Task-1B on target domain by 20%;

Machine Learning Intern

Agremiação Politécnica UFG

Responsible for the coordination of all the financial aspects of the institution, organizing and managing all the events produced in order to maintain the financial health of the company. In this specific year, the financial movements were over 60 thousand euros.
Also coordinator of all the financial team, composed by the time of 5 people.

Financial Director

Universidade Federal de Goiás

Worked actively on the development of an electronic device costing under 15 dollars capable of performing an electrocardiogram exam,  producing an article published in a national biomedical engineering conference.

Scientific Initiation Intern

Passionate about using data to deliver value, I focus my career on the fields of machine learning and AI, from research to production! 

I’ve worked on many projects in various fields of machine learning, such as recommender systems, NLP and audio processing, both on research (published article on a workshop at NeurIPS 2021) and production (building and deploying ML systems into various clouds: AWS, GCP etc.).  

Those are my main interests! If you share them with me and would like to come along in this learning journey, follow and connect! I’ll be happy to talk! 

I’m so excited I can finally share this!

After an amazing time at AssessFirst , I’ve joined Tsuga a while ago to help build the future of observability, and today we’re finally out of stealth!

In this year I’ve grown so much it’s insane. The team Gabriel-James Safar and Sébastien Deprez  is so amazing technically and also caring and fun it’s almost unbelievable! And I feel really grateful to be a part of it! 💚

So it’s no surprise that the product is amazing as well! BYOC, Open-source first, predictable cost, AI assistance, and much more!

If you want to know more about it, don’t hesitate to go to our website or DM me!

Tales M.

Data Science @Tsuga | Making MLOps accessible!

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