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Freelancer Overview

I am a Computer Science and Engineering student with hands-on experience in data processing, annotation, and AI training data pipelines through both academic and personal projects. My background includes developing advanced agentic Retrieval-Augmented Generation (RAG) systems using Python, LLMs, LangChain, and vector databases like FAISS, with a focus on precise semantic decomposition and data quality benchmarking. I have designed and implemented data processing pipelines for structured formats (CSV, JSON, TSV), built custom search engines with Apache Lucene, and created spatial indexing solutions for large datasets. My skills span Python, Java, SQL, data structures, backend development, and tools such as Pandas, MongoDB, and Jupyter Notebooks. I am passionate about applying my technical expertise to ensure high-quality, well-labeled data for AI and machine learning applications, and I am eager to contribute to real-world data annotation and training data projects.

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