- Designed and built backend using Django, Postgres, Redis and Celery;- Implemented RESTful APIs and Websocket communications;- Developed frontend using Typescript and React;- Wrote unit and integration tests, as well as end‐to‐end tests using Cypress;- Ensured high quality code by using pair programming and reviewing approach;- Created accurate data models and documentation.

- Designed and implemented internal library from scratch. Actively created tests and produced clear documentation; - Implemented robust and generic Python pipelines to integrate the outputs of the Computer Vision models;- Developed APIs for Microservice Architecture;- Solved bugs and added features to Flask on premise solution;- Built CI/CD pipelines with GitHub Actions;- Deployed software in clients servers using Docker, AWS and Bash;- Made effective presentations to stakeholders;- Worked with Agile methodology. Used Jira, Confluence and Git.

- Implemented an OpenVINO pipeline to optimize models performances on Intel CPUs (up to 4x faster); - Optimized models performances using Jetson GPU and tensorRT (up to 12x faster);- Developed a DeepStream streaming analytics pipeline from scratch using Python and C++. Sped up the total processing time (up to 8x faster);- Managed Jetson GPU's experiments remotely using Ubuntu terminal;- Trained a semantic segmentation model using mainly Tensorflow and OpenCV.

Internship in the Insights & Data practice:- understood the dimensional model and the star schema design;- independently discovered solutions to solve report problems;- developed SQL queries and BigQuery procedures;- implemented customer churn predictive pipeline.