William Bonvini
Machine Learning Engineer at Machine Learning Reply- Claim this Profile
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Italian Native or bilingual proficiency
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English Full professional proficiency
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French Professional working proficiency
Topline Score
Bio
Credentials
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Diabetic Retinopathy Detection with Artificial Intelligence
CourseraApr, 2021- Nov, 2024 -
Sentiment Analysis with Deep Learning using BERT
CourseraMar, 2021- Nov, 2024 -
How to marry e-learning and machine learning
Politecnico di MilanoJul, 2019- Nov, 2024
Experience
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Machine Learning Reply
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Italy
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IT Services and IT Consulting
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1 - 100 Employee
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Machine Learning Engineer
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Jun 2021 - Present
Worked on diverse projects that have allowed me to gain valuable experience in machine learning, data science, and data ingestion techniques. I developed 6 internal libraries and an internal website to streamline knowledge management and foster team collaboration. Since March 2023 I’ve been working on the Data Platform and Analytics project in Sky, a well-known broadcaster in Italy. My responsibilities include developing advanced analytics use cases using machine learning and enhancing the data ingestion pipeline with new features (usage of GCP, Python, Scala, Scio, and Neo4J). Previously: Undertook a research project for a prominent Italian bank focused on topic modeling: I explored a range of topic modeling techniques such as Top2Vec, KeyBERT, BERTopic, LDA, and LSA. Additionally, I delved into GCP's DocumentAI OCR processor and FAISS for semantic search. I contributed to the development of a job order clustering and monitoring tool designed to enhance data collection and analysis across multiple departments within a company that handles more than 10,000 projects annually. To improve the system's performance, I optimized execution time by isolating components, clarifying dependencies, and implementing multiprocessing (usage of Pandas, Dask, Terraform, AWS, Oracle databases, and Docker). Show less
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Politecnico di Milano
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Italy
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Research Services
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700 & Above Employee
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Graduate Computer Vision Researcher
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Mar 2020 - Apr 2021
While writing my MSc. thesis I worked as a researcher in the DEIB (Dipartimento di Elettronica, Informazione e Biotecnologia) lab. My focus was on tackling the challenge of multi-model fitting in noisy and unstructured data for Computer Vision applications. I developed a novel unsupervised deep learning approach to identify data points belonging to multiple models in a single pass, demonstrating its effectiveness in tasks like homography estimation and circle fitting. Additionally, I explored alternative problem formulations such as GPCA (Generalized Principal Component Analysis), showcasing the potential of this research area. Show less
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MyFormula
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Italy
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Personal Care Product Manufacturing
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Software Engineer
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May 2019 - Jun 2020
Worked in the early stage of a cosmetics startup focused on personalized products. My responsibilities included designing their platform's software and implementing a product personalization algorithm. Additionally, I gathered and analyzed data from different sources to offer insights that contributed to the company's growth. Worked in the early stage of a cosmetics startup focused on personalized products. My responsibilities included designing their platform's software and implementing a product personalization algorithm. Additionally, I gathered and analyzed data from different sources to offer insights that contributed to the company's growth.
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Education
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Politecnico di Milano
Master of Science, Computer Science and Engineering -
Politecnico di Milano
Bachelor of Science, Computer Engineering -
G.B. Grassi
Liceo Scientifico