distributed architecture , Coding Standards, Distributed Systems, Software Engineering, Agile, Scrum, Microservices, Engineering Best Practices, Operations, Code Reviews, Build Testing

production readiness , secure sdlc , Apis, Automated Testing, DevSecOps, Distributed Systems, Kubernetes, AWS, data pipelines, Reliability, cloud-native applications, AI-assisted development, infrastructure as code, scalable web platforms, observability

Node.js, Distributed Systems, AWS, Public-facing secure APIs, Engineering Management

Distributed Systems, security platforms, risk platforms, workflow platforms, retrieval-augmented generation, AI ML systems, decisioning systems, human-in-the-loop systems, LLM-based workflows, model orchestration, data platforms, AI-assisted operational tooling, agentic workflows, automated reasoning, model-serving infrastructure, Trust Safety systems

Machine Learning, Optimize algorithms, business applications, ML-based software development, model performance, AI-driven solutions

Docker, Visual Studio, Java, Tensorflow, JIRA, Google Cloud, Eclipse, AWS, Pytorch, MySQL, Cassandra, Cursor, Mariadb, Kubernetes, Python, Azure, Jenkins, Git, GitHub Actions, Go, Oracle OCI, VSCode, LangChain, OpenAI APIs

Data Governance, AWS, Data Modeling, Kubernetes, Apache Spark, Pyspark, Apache Iceberg, batch pipelines, Airflow, Temporal, distributed data processing, Delta Lake

object storage , Scrum, Json, Https, Software Development Life Cycle, Web Technologies, REST, CI CD, Agile frameworks, Dev QA and Automation, AI native software development, cloud-based infrastructure, distributed software products