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👋 Hi there!

class Petru:
  def __init__(self):
    self.name = 'Petru'
    self.surname = 'Potrimba'
    self.education = 'Master Degree in Artificial Intelligence and Bachelor Degree in Compuer Science and Engineering'
    self.experience = ['Roboflow', 'AIvolution', 'Sis.ter', 'Imola Informatica', 'Unibo']
    self.roles = ['Machine Learning Engineer', 'Researcher', 'Software Engineer']
    self.interests = ['Machine Learning', 'Deep Learning', 'Competitive Programming', 'Teaching', 'Communication']
    self.languages = ['English', 'Italian', 'Romanian', 'Spanish']
    self.hobbies = ['Tv series','Swimming', 'Fitness']

🔨 Most interesting projects

• Personal Blog : Actively write blog posts about my research projects mainly focused on Software Engineering and Machine Learning.

• Send Time Optmization : Send Time Optimization (STO) is an add-on feature that allows marketers the ability to send emails at the most optimal send time to each recipient. We used feature engineering to create meaningful features and then we used deep learning to address this problem. The implemented solution improved the ratio of opened emails by ∼ 32% and the click ratio by ∼ 12%.

• Generate synthetic faces : Auxiliary classifier generative adversarial network (AC-GAN) model that can generate synthetic conditioned faces with a specific set of attributes (example: generate a face of a woman, with blond hair that smiles). The FID metric reached a score of 19.42 for the generation of conditioned synthetic faces and a score of 11.07 for the generation of random synthetic faces.

• Math assistant : Implemented and deployed a custom Optical Character Recognition (OCR) within an iOS Mobile application and a Telegram bot for the recognition of handwritten mathematical expressions. Implemented a Machine Learning model that understands whether the mathematical expressions are correct or not.

• Image captioning with Transformers : Implemented the Image Captioning model using deep learning with Transformers. The model has been trained both on COCO and Flickr8k datasets. The performance reached results comparable to the state-of-the-art of 2020 on the BLEU and METEOR metrics.

🎓 Academic achievements

• Top 0.4 % student among all Masters students of the Engineering department of Bologna University.
• Winner of Start Hub competitive programming coding challenge (first position among 200+ competitors) link.
• Admitted to ETH University for Computer Science Master’s Degree (ETH engineering department is 4° ranked among all the engineering departments all over the world).

📫 Connect with me