Key Skills

Freelancer Overview

I am a software engineer with a strong foundation in data engineering and AI training data pipelines, specializing in building scalable systems that support data labeling and annotation workflows. My experience includes architecting ETL pipelines using Python, Pandas, and FAISS to synchronize and index large-scale course metadata for retrieval-augmented generation (RAG) applications, as well as implementing data validation scripts to ensure high-fidelity embeddings and boost model accuracy. I have developed chatbots and predictive analytics modules leveraging OpenAI APIs, Scikit-learn, and NumPy, automating the handling of repetitive queries and optimizing data-driven decision-making. My technical toolkit spans SQL/NoSQL databases, AWS, Docker, and advanced LLM frameworks like LangChain and LangGraph, and I have hands-on experience with computer vision using OpenCV and annotation workflows for gesture recognition. I am passionate about enhancing AI systems through robust data pipelines and high-quality training data to drive improved user experiences and model performance.

Labeling Experience

Education

Work History