B.Tech Computer Science & Artifical Intelligence (CSAI) student. Engaged in the study, experimental application of machine learning, system architectures, and edge computing and exploring new tech. Primary directive is continuous capability expansion through iterative building and algorithmic problem solving.
Exploration into model quantization and edge deployment. Investigated soft-voting ensembles and transpilation of Scikit-Learn weights to C headers for resource-constrained hardware.
PyTorchScikit-LearnFastAPISHAP
Analysis of zero-shot intent classification capabilities. Constructed a pipeline using pre-trained sentence embeddings to evaluate customer feedback intent and polarity.
HuggingFaceTransformersSentence-Transformers


