data engineering , Apis, Enterprise Integration, Microservices, ELT, Etl, GenAI, messaging systems, event-driven architectures, Ai, Data Platforms

Saas, Distributed Systems, Testing, Slas, Software Engineering, Monitoring

product strategy , Cloud Security, Cybersecurity, Iam, Reference Architectures, Product Positioning, Enterprise Product Launches, Product Marketing, AI Infrastructure Software, Technical Marketing, Go-to-Market Initiatives, Storytelling, Messaging, Developer Platforms

Rpa, Quality Management Systems, Service Excellence, Iso, Ai, Process Engineering, Six Sigma Black Belt, Copilot, Delivery Excellence Practices, Governance, Metrics Reporting Management, Agile Practice, Power App, Lean Certified Practitioner

data engineering , Machine Learning, Apache Spark, Kubernetes, Airflow, Apache Iceberg, Frontier AI models, ML Platform Development, Ray, NVIDIA Workbench, Flink, SageMaker, Jupyter Notebooks, Kubeflow, Vertex AI, MLFlow

engineering leadership, AI-native engineering practice, Cloud delivery engineering, 0 to 1 execution, Architecture scale, Full-stack technical depth

Ml, Java, Aws Cloud, Kubernetes, Python, Generative AI, open-source frameworks, Ai, AI agent frameworks, High Performance distributed architecture

snowflake , BigQuery, Dynamodb, Emr, Redshift, Aerospike, Spark, AWS, Airflow, Real-Time vs Batch Data Processing, Cleanroom, cloud data architectures, Data Table Format, Iceberg, Hudi, Scylla, Data Lakehouse, Delta, batch real-time data processing systems, High throughput distributed system APIs, Zero-Copy Data Sharing

NR NTN, beam hopping, 5G Core functions, NB-IoT NTN, 3GPP NTN specifications, satellite ground segment architecture, cloud-native deployments, gateway integration, CU DU split, O-RAN Alliance NTN work items, SMO RIC integration, eCPRI Split 7.2, feeder link design, vDU vCU deployment models, RAN architecture, TTC interface

Ml, Data Management, MLops, Agile Methodologies, Generative AI, Ai