Yashwanth Gummula

Background

About Yashwanth Gummula

I’m a Data and AI/ML Engineer with 8+ years of experience building scalable data platforms, deploying machine learning solutions, and bridging the gap between data engineering and AI. I specialize in designing end-to-end pipelines for real-time and batch processing using modern tools like Apache Spark, Airflow, Kafka, and dbt—across cloud ecosystems including AWS, GCP, and Azure. Over the years, I’ve productionized machine learning models using MLflow, Docker, FastAPI, and Kubernetes, enabling high-impact applications in NLP, computer vision, and predictive analytics. I have hands-on experience deploying and monitoring models with CI/CD pipelines and MLOps practices, ensuring performance, reliability, and compliance in enterprise environments. My strengths lie in collaborating across teams—data scientists, DevOps, and product managers—to deliver business-aligned AI solutions. I’ve led projects involving LLMs, retrieval-augmented generation (RAG), and deep learning for tasks like object detection, image segmentation, and text classification. I'm passionate about solving complex problems and turning data into actionable insights.