Satya Sri Rajiteswari
Nimmagadda

• Provided real-time technical support during classes; automated support tasks using PowerShell, reducing resolution time by 25%.
• Maintained classroom technology including T1V systems, audio equipment, and virtual meeting platforms.

• Supported faculty and students with research data needs using Tableau, Excel, and statistical tools.
• Contributed to Azure cloud-hosted research applications and infrastructure monitoring.

• Orchestrated end-to-end delivery of server and storage infrastructure across South America, Europe, and Asia Pacific.
• Streamlined OS automation workflows, reducing manual workload by 30%.
• Built dashboards to track infrastructure deployments and incident response metrics.

• Designed and implemented automated server backup and storage solutions, reducing system downtime by 25%.
• Maintained detailed runbooks supporting CI/CD workflows and analyzed customer requirements for scalable infrastructure.

• Monitored server and network health using real-time dashboards; ensured SLA compliance.
• Implemented automation solutions improving scheduler efficiency; hands-on with AWS EC2, IAM, S3, and VPCs.
• Supported change management and incident response, including 24/7 on-call rotation.

Designed and trained a lightweight CNN achieving 96% accuracy on 14K+ images, deployable on edge devices (Raspberry Pi).

Generated synthetic biomedical images using stable diffusion models (PyTorch, GPU) to augment limited medical datasets.

Developed an Azure-hosted ML tool providing personalized financial recommendations from user spending patterns.

Built a Python-based NLP pipeline for dataset classification and visualization using transformer-based architectures.

Explored SMPL-T baseline pose estimation with kinematic priors from single monocular images with textual descriptions.

Constructed a data-driven business roadmap using statistical and BI tools to guide resource allocation.