Distinguishing the signal from the noise
I am driven by the power of data and advanced computation to create intelligent systems. My passion lies in building, training, and deploying robust Deep Learning models that tackle complex, real-world challenges.
Specializing in Natural Language Processing (NLP), I am proficient in leveraging GRUs/LSTMs & transformer architectures for tasks like text generation, sentiment analysis, and semantic search.
TRUST-NSFW-Classifier is a high-performance deep-learning solution engineered to solve the "Binary Bottleneck" of modern content moderation. Leverages Vision Transformer (ViT) architecture for granular, multi-dimensional safety scores.
A subpart of the personal project Mynd. This system recognizes handwriting from seemingly infinite spaces and builds an intelligent query-based chat system with persistent memory.
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