Sai Kalyani Yerrasani

Improved object-detection accuracy by building radar- and LiDAR-based detection and semantic-segmentation pipelines across the full SDLC. Strengthened model robustness by combining synthetic CARLA data with real-world multimodal datasets. Boosted inference performance via optimization algorithms for PyTorch models on CUDA GPUs. Collaborated cross-functionally with researchers and engineers across sensor, simulation, and model-evaluation workstreams.

Operated and supported Azure-based backup and cloud-hosted ML services for enterprise clients, resolving issues and coordinating cross-functional teams for system reliability. Applied Java and cloud-infrastructure knowledge to troubleshoot production issues and support process-oriented monitoring of distributed systems. Produced structured technical documentation for internal and client stakeholders.

Supported AWS cloud infrastructure automation and monitoring across EC2, S3, and RDS, and assisted in developing and testing infrastructure scripts - an early introduction to the software development lifecycle and cross-team collaboration.

Focus: Artificial Intelligence Software Development, Industrial Software Engineering, Machine Learning, IT Security, Databases, Internet of Things, Usability Engineering. Coursework included Java- and Python-based software engineering projects.

Focus: Cloud computing, software engineering, automation, databases. Coursework included Java-based programming projects.