Hi, I’m Siddarth Jha! I’m an experienced Machine Learning Engineer with 3.5 years of hands-on expertise in building and deploying scalable AI/ML systems. Currently, I’m working at EPAM Systems, focusing on document vectorization, end-to-end pipeline development on Databricks, and optimizing vector databases for efficient document retrieval. I’ve also led MLOps initiatives at Appyhigh, driving the deployment of GPU-based machine learning workflows on Kubernetes using Kubeflow and Torch-serve. My experience spans leading organizations like NPCI, where I designed ML life cycle systems to handle billions of requests per day and optimized model deployment using tools like Feast, MLflow, and Kubernetes. I'm passionate about developing robust, scalable solutions that push the boundaries of AI/ML, and I’m always looking for opportunities to collaborate on innovative projects in MLOps, cloud infrastructure, and machine learning pipelines. Feel free to connect if you're looking for a passionate about AI/ML