Aniket Motwani

I’m a Software Engineer specializing in building scalable backend services and production-grade full-stack applications end-to-end—from system design and development to cloud deployment. I bring deep expertise across Java, Spring Boot, ReactJS, and PostgreSQL, and I enjoy turning complex requirements into reliable, deployable solutions.

At GE Healthcare, I architected a High Availability (HA) multi-node k3s cluster by migrating from a single-node setup to a server/agent topology, improving stability, failover capability, and workload persistence. I also enhanced cluster networking with a secure VXLAN overlay (using Spegel) to ensure reliable inter-node communication and stable data sharing in a distributed environment.

I deliver impact on live production healthcare products by resolving 20+ defects and shipping 2 end-to-end features using HTML, CSS, and TypeScript. I’ve also engineered scalable ReactJS components for Pulse Point—GE’s internal hackathon management platform—to improve UI responsiveness and usability across teams.

Beyond application engineering, I’ve automated recurring operational workflows using Python scripts, cutting manual workload by 80%. I’ve trained and fine-tuned deep learning models for fetal face segmentation with TensorFlow/PyTorch, and I’ve used a Vision-Language Model (VLM) for image-based question answering—supporting multi-modal medical imaging use cases.