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Freelancer Overview

I am a backend and AI engineer with hands-on experience in building production-grade AI agents and scalable data systems, specializing in data pipelines, real-time ingestion, and retrieval-augmented generation (RAG) systems. My work includes designing and deploying automated Python ETL pipelines for parsing, cleaning, and validating unstructured data, significantly reducing manual processing time and improving data reliability. I have developed solutions for minimizing AI hallucinations and enabling long-context reasoning in conversational agents, leveraging Python, FastAPI, and AWS cloud services. My technical toolkit includes expertise in data annotation, feature engineering, and machine learning with tools like Scikit-learn, Pandas, and PySpark, as well as experience with containerization (Docker), CI/CD, and deploying scalable backend systems. I am passionate about creating robust data workflows that power accurate and reliable AI solutions across domains such as NLP and real-time sensor data.

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