Ml, Distributed Systems, System Design, API design, LLMs, Production Operations, Ai, prompt engineering, RAG architectures

Ml, change management, Storage, Networks, Incident Response, Distributed Systems, compute technologies, Ai, Monitoring, large-scale infrastructure, e-commerce software, systems engineering practices, Hardware Architecture, service-level objectives

Apis, Gcp, Distributed Systems, Testing, Azure, Microservices, AWS, cloud architectures, CI CD, platform operations

Serverless Computing, Scalability, High Availability, Agile Scrum, AWS, Etl, large-scale distributed systems, event-driven architectures, Resilience

Devops, Aws Services, Distributed Systems, System Design, Cloud Infrastructure, Software Engineering, microservices architecture, CI CD best practices, API-first platforms, large-scale backend systems

Memory Management, Python, AWS, LangChain, containerized deployment, audit logging, agentic AI, explainability, RAG tool orchestration, Pinecone, LangGraph, Evaluation, structured outputs, Authorization, Chroma, Langfuse, Production Monitoring, guardrails, AI governance, cloud-native AI platforms

Distributed Systems, Engineering practices and processes, Engineering Management, Performance optimization

Tco, engineering leadership, productionizing ML DS models, distributed data-heavy systems, budgeting, architecture platformization, developer tooling, Resource Planning

Devops, Apis, Distributed Systems, Azure, Kubernetes, Microservices, AWS, Security, infrastructure-as-code, container orchestration, observability stack

Devops, Gcp, Distributed Systems, Kubernetes, high-throughput platforms, architectural leadership, Go, scalable APIs, backend software development