Who am I
I'm a Machine Learning engineer, BE in Computer Engineering, working on the development of systems utilizing artificial intelligence with a primary focus on computer vision. I always prioritize scalability and efficiency in the projects I engage with. I believe that the field of Artificial Intelligence is the most socially disruptive area and my goal in this field is to always work with technologies that positively impact society.
I entered the world of programming in 2015 and since then, I've explored various areas until I found my passion in artificial intelligence in 2021. I have specialized in Python and computer vision. I enjoy being involved in the artificial intelligence community and its open-source culture.
Within the field of artificial intelligence, I have worked with various frameworks and implemented research papers. I have significant experience in fine-tuning, model ensembling, and model optimization, primarily dealing with classification/clustering problems, object recognition/detection, OCR, as well as integrating models into embedded systems and accelerating their performance on CPUs.
My professional timeline
2015-2020
Various
Worked as a front-end developer, working with javascript/php and later flutter for mobile applications, doing a career change to Artificial intelligence by the end of 2020.
2021-2022
FDTE/Geovista
Junior Data Scientist
- Applied computer vision to extract data from real-time footages
- Realized clustering for customer segmentation
- Created dashboards for data vizualization
- Researched and developed facial recognition products
- Worked with multidisciplinary teams
2022-now
Intelicity
Machine Learning Engineer/Data scientist
- Researching and deploying computer vision projects with object detection/segmentation
- On-premise/cloud architecture configuration
- Migrated ML pipeline to the cloud
- Worked with OCR for plate recognition
- Optimized models for CPU edge-devices
- Managed entire projects and small