At Datavalley.ai, I design and deploy machine learning models for predictive analytics and recommendations, and build end-to-end ML pipelines with Python, PySpark, and Airflow.
I architect RAG systems with LangChain and vector databases for internal knowledge assistants and document Q&A. I also develop NLP models for classifying and extracting information from business documents.
In my projects, I built a voice-based RAG assistant that combines speech recognition, semantic search, and spoken responses. I’ve also developed a GenAI summarization platform and a document classification system with an active-learning feedback loop.
