Ayelet Hillel
About Ayelet Hillel
Ayelet Hillel is an AI Product Engineer currently working at Confluence, specializing in the development of AI-driven solutions for B2B SaaS products in the financial services sector. With a background in political science, philosophy, and economics, she has held various roles in data science and machine learning across several institutions, including General Assembly and the Weizmann Institute of Science.
Current Role at Confluence
Ayelet Hillel currently serves as an AI Product Engineer at Confluence, a position she has held since 2024. In this role, she focuses on the integration and fine-tuning of Large Language Models within a cloud-based infrastructure, primarily utilizing Azure. Her work involves spearheading the development of AI and machine learning solutions tailored for B2B SaaS products, particularly in the financial services sector.
Previous Experience in AI and Data Science
Prior to her current role, Ayelet Hillel worked at AIIR Analytics as a Lead Machine Learning Engineer for four months in 2023. She also held the position of Data Scientist/ML Engineer at the same company from 2022 to 2023. Her experience includes leading a cross-functional team to design and test a web application that uses Natural Language Processing to evaluate leadership potential based on charisma.
Educational Background
Ayelet Hillel earned a Bachelor's degree in Political Science, Philosophy, and Economics (PPE) from Tel Aviv University, where she studied from 2014 to 2017. She later pursued a Master of Arts in Economics and Education at Columbia University, completing her studies from 2019 to 2020. Her education has equipped her with a strong foundation in analytical thinking and research methodologies.
Professional Journey
Ayelet Hillel's professional journey includes diverse roles in data science and research. She worked as a Project Analyst at the Weizmann Institute of Science from 2018 to 2019 and as a Quantitative Researcher at the Israel Democracy Institute from 2016 to 2018. Additionally, she gained experience as a Software Engineering Fellow at General Assembly and as a Data Science Fellow at NYC Data Science Academy.
Passion for AI and Social Good
Ayelet Hillel is passionate about leveraging artificial intelligence for social good. She aspires to contribute to the ethical and responsible development of AI technologies. Her work emphasizes the importance of developing scalable AI tools, particularly those that utilize Natural Language Processing techniques to address complex business challenges.