Diamond Project
This data annotation project can include tasks of pairwise comparisons, counting tasks, and object tagging tasks, which may include audio, video, and/or images as content, or data collected.
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I am an Electrical Engineer with hands-on experience in data annotation and AI model training, where I have contributed to the development and validation of artificial intelligence algorithms by leveraging my strong technical background in engineering and automation. My work involves ensuring high-quality, accurate datasets for AI projects, applying analytical skills and attention to detail gained from designing and programming industrial systems, as well as managing and analyzing technical data in renewable energy and industrial environments. I am proficient with tools such as AutoCAD, EPLAN, Siemens PLCs, and advanced Excel, and I thrive in multidisciplinary teams, always aiming to bridge the gap between technical expertise and practical data needs for AI solutions. My proactive approach and ability to communicate complex concepts make me well-suited for roles in data labeling and AI training data projects.
This data annotation project can include tasks of pairwise comparisons, counting tasks, and object tagging tasks, which may include audio, video, and/or images as content, or data collected.
Step by step reasoning to help state-of-the-art models improve mathematical reasoning capabilities.
Complex tree reasoning hint generation
Math data collection pipeline
First part of the RLHF-RTL project which focuses on the creation of hard prompts that trump the model. Second part of the RLHF-RTL Math and Reasoning project focused on guiding the model to the right response followed by side-by-side rating.
Bachelor of Science, Electrical Engineering
Technical Secondary Degree, Electromechanics
Consultant and Teacher
Junior Engineer – Industrial Automation