- I optimized ML models in production, minimizing queries, connections, and server overhead;- I contributed to the development of a scalable and automated infrastructure using Seldon Core to serve ML models in production;- I worked on the optimization of the travel pricing service, doubling efficiency via architectural improvements and information caching.

- Development of communication between backend of application with Whatsapp, with IBM Watson and with Microservices to receive, store and send messages (Python and Node).

- Extracting data from government websites using web scraping techniques (Python);- Developing a specialized search engine to identify politically exposed individuals (Python, SQL and Celery);- Developing a genre classifier to enhance the search engine's ability to identify politically exposed individuals (Python);- Developing an OCR-based algorithm for extracting data from driver's license images (Django, Tesseract and SQL).

- Development of a generalized reinforcement learning platform;- Development of a controlled simulation environment to soccer 2d agents using C++;- Creating of a python module that interacts with soccer simulation to get environment information and train a reinforcement learning algorithm;- Communication between C++ Simulation and Python Module using Protobuf.

- Front end development of a rental price calculator (React and Redux);- Development of the integration between the rental calculator and the user registration flow with lead creation (Django, React and Redux);- Development of the integration of unconverted leads with CRM (Firebase and Node);- Development of a form autocomplete to improve the property registration process (React and Redux).