I am an advanced physics masters student, passionate about AI and its numerous applications. I consider myself a great problem solver, which is reflected in many of the projects I pursue.
I have been working in the data science and AI field for over two years, which include freelancing, internships, and a part-time job.
During my high school years I received several awards, including scholarships to summer schools in Panama and Israel, and silver and golden medals in National, Regional and International Chemistry Olympiad (IChO) contests.
Did part of the analysis and visualization of a large dataset of tweets directed to Argentinian politicians, classified as agressive or non-agressive
Got selected for a 3-month internship at the Weizmann Institute of Science, during which I worked as part of the "Machine Learning in Particle Physics" research group lead by Eilam Gross.
During the internship, I worked on optimizing the performance of a neural network we had made (Znet3) for anomaly detection on data obtained in the ATLAS collaboration.
By the end of the internship, I had identified a problem with the performance of our neural network, and fixed it by optimizing its training process, leading to the first working prototype of Znet3.
As an AI/NLP team member at GetGloby, I collaborate on tackling challenges associated with the automated translation of advertising campaigns.
We leverage a variety of natural language processing tools, working daily with Language Models to develop systems for Translation, Content Generation, and Translation Quality Estimation.
With over 5 years of Python programming experience, I specialize in developing products leveraging Large Language Models (LLMs) Proficient both in interacting with LLMs via APIs and running them locally through Hugging Face
My expertise extends to utilizing Docker for containerization and employing Langchain to build applications that integrate with LLMs