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Data Annotation Tech
Google Cloud Vertex AI
Label Studio
OpenCV AI Kit (OAK)
Roboflow
Surge AI
Computer Code Programming
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VideoI have extensive experience in data labeling and AI training data, particularly in the world of large language models (LLMs) and computer vision. My background in Computer Science and Artificial Intelligence from IE University has equipped me with the technical proficiency to handle complex data annotation tasks. I have worked on various projects that required precise data labeling to train machine learning models, ensuring high accuracy and efficiency. My skills in Natural Language Processing (NLP) and computer vision have been honed through hands-on experience and rigorous academic training, allowing me to contribute effectively to the development and improvement of AI systems. One of my key projects involved leading the data annotation team for a large-scale NLP model, where I ensured the quality and consistency of labeled data, significantly improving the model's performance. Additionally, my participation in competitions such as the IE & Ryanair Sustainability Datathon and the International Quant Championship by WorldQuant has demonstrated my ability to apply my expertise in real-world scenarios. These experiences have set me apart by showcasing my ability to combine technical knowledge with practical application, making me a valuable asset in any AI data training endeavor.
For my thesis, "Seamless Speech-to-Speech Translation with Voice Replication," I performed detailed audio transcription and style annotation, ensuring accurate and expressive translations.
During my internship at Molnix, I gained extensive experience in labeling documents with a focus on Named Entity Recognition (NER) and Semantic Labeling. Utilizing tools such as Label Studio, Spacy, and NLTK, I accurately identified and classified entities within documents. My work involved designing and implementing precise labeling strategies that improved the accuracy and efficiency of our document processing systems. This experience honed my skills in NER and Semantic Labeling, contributing significantly to the overall performance and reliability of the NLP models used at Molnix.
Bachelors, Computer Science & Artificial Intelligence
International Quant Championship Finalist
AI Intern
