Storage, Application Development, Kubernetes, Algorithms, Data structures, Distributed Systems, Infrastructure as Code, Traceability dashboards, Compute technologies, Go, Hardware Architecture, Developing accessible technologies

Matplotlib, Hadoop, Power Bi, data mining, Big Data Technologies, Tableau, Google Cloud, Spark, Azure, Python, AWS, Machine Learning Algorithms, data visualization tools, R, MLOps practices, Statistical Modeling, cloud-based data platforms, feature engineering

error analysis , Machine Learning, Natural Language Processing, Deep Learning, Numpy, Pandas, Pytorch, Python, Statistical Sampling, Hugging Face Transformers, PDF parsing frameworks, model evaluation metrics, TesserAct, Scikit-Learn, LayoutLM, PaddleOCR, document OCR processing tools

Unix, Python, Lsf, Bitbucket, Static timing analysis, AI ML, Jenkins, Git, Linux, Splunk, GenAI, cdc, design layout constraints, Design Verification, CI CD process, DesignSync, UPF, SDC, Dft, RDC, EDA Tools, Graph Neural Networks, Implementation, make, reinforcement learning, debug tools, convolutional Networks, Power-aware flows, Clocks, SW development

Java, Software Development Life Cycle, Agile Methodologies, J2EE, Application Resiliency, Fullstack Development, AI-assisted software development tools, Security

Google Cloud Platform (GCP), Kubernetes (GKE), Java, Springboot, Docker, Restful Apis, Sql, Microservices, Data Modeling, Automated Testing, Distributed Systems, Query Optimization, Logging, Alerting, NoSQL databases, Git-based version control, Cloud-native application design, AI Agents for software development, CI/CD pipelines, Monitoring

Tensorflow, Machine Learning, Python, Model Deployment, Data Analysis