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Freelancer Overview

I am an AI enthusiast with hands-on experience in building and managing data pipelines, synthetic data generation, and developing machine learning models across domains like NLP, computer vision, finance, and speech recognition. My work includes founding a synthetic data startup, where I designed pipelines for dataset generation and evaluation, as well as open-sourcing datasets and evaluation models. I have engineered data processing and annotation workflows for projects such as oral reading fluency assessment using Whisper and LSTM models, FIR classification with BERT and GPT-2, and lifecycle stage prediction from unstructured financial documents using deep learning. I am skilled in tools and frameworks like PyTorch, FastAPI, Pandas, and have worked extensively with LLMs, text mining, and vision transformers, ensuring high-quality, reliable, and fair training data for AI applications. My experience spans both building and evaluating datasets, as well as deploying scalable data-centric solutions in real-world settings.

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