Vinayak Shrishail Anadinni

I’m deeply interested in building scalable real world AI systems, especially around MLOps, NLP, and applied machine learning. My work focuses on deploying end to end ML pipelines, optimizing model performance, and using modern architectures like Transformers, Sentence Embeddings, and deep learning frameworks such as PyTorch and TensorFlow to solve high impact data problems. I enjoy working on projects that combine ML engineering and cloud infrastructure, including AWS SageMaker deployments, CI CD automation, vector based search, and data intensive pipeline design. My interests also include LLMs, retrieval augmented generation, real time inference, and privacy preserving ML. I’m currently exploring smart automation, large scale text analytics, and model optimization, and I’m passionate about building ML systems that are production ready, interpretable, and efficient.