Sagnik Roy
Distinguishing the signal from the magic
Distinguishing the signal from the magic
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.
Created two GRU & LSTM based machine learning model from scratch for autocompleting sentences by character level predictions using NLP. Compared performance & deployed it via FastAPI & Docker.
This project contains advanced raw data analysis of customer data and considers calender events, weekends, customer retention & history to predict ingredient demand accurately.
This project is a subpart of a bigger personal project called Mynd. This system recognizes handwriting from seemingly infinite spaces and makes a intelligent query based chat systems with memory
* since this project is not yet live i've attached a working demo video in the details of this project
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