United States
The account is for personal views and interests only. I am an engineer loves to solve problems, debug code, and design systems. I am interested in business management and like to explore new scientific fields every now and then by reading a book or taking a short course. Living in the Netherlands and the times I spent studying and working on research was the best in my life, and now I am looking for a relocation with a paid job or opportunities in the following: - Fully funded master's degree in AI, ML, or data science. - A PhD study in AI, ML, or data science. - Full-time or part-time paid job. - Research opportunities. Places for study or work: Europe, the United States of America, the United Kingdom, Canada, and Israel. The post with my resume is featured at the top of the account. I am also eligible for an O-1 visa to the United States and looking for a company or agent to sponsor me.
Competing in several kaggle competitions, such as - ESA Fake or real: the imposter Hunt in texts. 658/994 - ARC Prize 2025. Unranked - NeurIPS 2025 - Google Code Golf Championship. 1113/1143 - NFL Big Data Bowl 2026 - Prediction - AI Mathematical Olympiad - Progress Prize 3 Writing research articles, blogs, substacks, and reviews on selected topics of AI/ML.
- open-source development for TensorFlow and Keras by implementing new models to fix open issues, directly contributing to the projects' functionality. - Contributed to brand visibility through targeted research, strategic advocacy, and the publication of work.
Creating issues and pull requests for the Hive repository at Aden (W20) from Y Combinator
Actively seeking new opportunities in Artificial Intelligence and Data Science where I can leverage my expertise in research and project development. As a self-directed professional, I consistently publish articles and technical blogs while developing a portfolio of hands-on projects. prioritizing relocation according to the details in the account summary section.
Expanding the ShareLM data collection plugin The project focused on enhancing the ShareLM web extension -- an open-source initiative that democratizes access to human-LLM conversation data for research purposes. The goal is to significantly expand the platform's capabilities and user base by implementing key improvements that will increase both the quantity and quality of collected conversational data.