Response writer and Reviewer in Outlier
Rewriting the prompts and responses for python coding
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I am a Machine Learning Engineer with hands-on experience in developing and optimizing NLP models, particularly in the areas of LLMs, RAG pipelines, and vector databases such as FAISS, Pinecone, and ChromaDB. My work involves the end-to-end lifecycle of AI training data, from data preprocessing and feature engineering to deploying robust models for real-time business intelligence. I have built and integrated synthetic data generation tools powered by LLMs, significantly accelerating dataset creation and ensuring high-quality, representative training data for NLP tasks. My expertise spans Python, TensorFlow, PyTorch, Hugging Face, and cloud platforms like AWS and GCP, and I am adept at automating data annotation workflows, implementing differential privacy, and collaborating with cross-functional teams to meet diverse data labeling needs. I am passionate about delivering scalable, reliable AI solutions that are grounded in strong data foundations.
Rewriting the prompts and responses for python coding
Bachelor of Technology, Computer Science and Engineering
Machine Learning Engineer
Machine Learning Intern