Gouthami Nadupuri

I’m a Data Scientist and AI Engineer focused on building production-grade intelligent systems that integrate data engineering, machine learning, and modern large language models. My work centers on designing scalable pipelines, developing applied ML solutions, and deploying AI systems that operate reliably in real-world environments. I have hands-on experience building end-to-end solutions — from data ingestion and ETL workflows to anomaly detection systems, time-series forecasting models, reinforcement learning experiments, and NLP/LLM-based applications, including Retrieval-Augmented Generation (RAG) architectures.

I primarily work with Python and SQL, leveraging tools such as Spark, Kafka, scikit-learn, TensorFlow, PyTorch, FastAPI, and cloud platforms to build scalable and maintainable AI systems. I emphasize strong statistical foundations, rigorous model evaluation, data quality, and system reliability to ensure measurable business impact. My goal is to design and deploy scalable AI systems that move beyond experimentation and become core components of real-world products — combining machine learning, LLMs, and robust engineering practices to solve meaningful problems.