Machine Learning Research Consultant

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Description

TensorFlow JavaScript Pandas Flask SpaCy React Keras SQLite Sci-kit Learn NumPy Python HuggingFace NLTK React Native Express PyTorch PostgreSQL

I'm a research consultant studying at Carnegie Mellon who's won over 10 hackathons with my full-stack experience and published machine learning research papers at top venues like NeurIPS and EMNLP. My areas of interest include Deep Learning, Natural Language Processing, Neurotechnology, and Genomics, but I also just love doing AI/ML research in a customer-oriented startup context. Open mainly to consulting positions and potentially new grad roles starting mid-2023.