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TextI am an AI engineer and LLM developer with over 3 years of experience designing and deploying advanced AI and GenAI solutions, specializing in NLP, data annotation, and training data workflows. My background includes building RAG frameworks for customer service and healthcare learning applications, where I established ground-truth datasets, developed evaluation mechanisms using LLM-as-a-Judge, and implemented continuous feedback loops to iteratively improve model accuracy and data quality. I have hands-on expertise with LangChain, OpenAI APIs, Hugging Face transformers, and hybrid search/re-ranking methods to ensure precise and context-rich data labeling. My experience spans full-stack development, ML model evaluation, and the creation of multi-agent systems that orchestrate and manage complex data pipelines. I am passionate about delivering reliable, high-quality AI systems and am skilled at leveraging modern tools such as Streamlit, Pinecone, and Scikit-learn for robust data engineering and annotation tasks across healthcare, logistics, and enterprise domains.
Worked on data labeling and model training for a classification model for the logistics side of a company.
Bachelor of Science, Information Technology (Programming and Software Development)
GenAI Developer
GenAI Engineer
