Memory Management, Software Development, Design Patterns, Debugging, programming, Profiling, system performance, architecture, parallel computing

Gcp, Shell scripting, Distributed Systems, Azure, Kubernetes, Python, AWS, Chaos testing, Go, Reliability engineering, Observability

data preparation , Machine Learning, Artificial Intelligence, Cuda, Deep Learning, Pytorch, Python, Large-scale ML systems, LLMs, Pre-training, Post-training, Evaluation for ML models

application lifecycle management including coding testing and deployment, debugging and performance tuning of integration flows, designing and implementing integration solutions using cloud-based platforms, Oracle Integration Cloud Service ICS, best practices in software development and integration architecture

Software Development, Design Patterns, programming, automated solutions, boundary value testing, Reliability, equivalence class partitioning, software testing techniques, Scaling