Key Skills

Freelancer Overview

I am an AI engineer with hands-on experience building LLM-driven applications and complex data pipelines, specializing in natural language processing and retrieval-augmented generation (RAG). My background includes designing and deploying end-to-end machine learning systems that rely on high-quality labeled data, such as real-time document retrieval chatbots and user-item recommender systems at scale. I am skilled in prompt engineering, data annotation workflows, and integrating tools like LangChain, Hugging Face Transformers, PyTorch, and scikit-learn to process, validate, and utilize diverse datasets. My work emphasizes modular, reproducible pipelines and robust MLOps practices, leveraging technologies such as FastAPI, Docker, AWS, and MLflow to ensure data quality, model versioning, and seamless deployment. With a strong foundation in linguistics and experience handling large-scale NLP and tabular data, I am passionate about building reliable AI systems that depend on precise and well-structured training data.

Labeling Experience

Education

Work History