Devops, Apis, Microservices, AWS, GenAI, RAG agent orchestration, tool-calling, event-driven systems, AI agents, cloud platforms, observability

triton , Machine Learning, Deep Learning, Cuda, Tensorflow, Pytorch, Python, ExecuTorch, CUDNN, Inductor, MLIR, vLLM, TorchDynamo

scalability testing , Node.js, Rdbms Concepts, Devops, Kafka, NoSQL database, CI/CD

Deep Learning, Ml, Tensorflow, Pytorch, Information Retrieval, Python, LLMs, ranking, retrieval, scikit-learn, fine-tuning, Hugging Face, Governance, Indexing, RAG, Caching, batching, Statistical Modeling, prompt engineering, Experimental Design, recommendation systems, Evaluation

Logging, Cloud Infrastructure, automation, AWS, end-to-end system architecture, AI tools and platforms, Security, LLMs, AI-first thinking, agent-based systems, Monitoring

certificate management , Hsm, PowerShell, Pki, automation, Tls, Python, Scripting, cryptographic principles, x.509, key exchange, Encryption Algorithms, crypto-agility, Post-Quantum Cryptography

Sparql, Terraform, Cicd, GitHub Actions, microservice architectures, event-driven systems, IAC processes, container management platforms-based technologies in AWS, RDF-based triplestores

Java, Spark Streaming, Kinesis, Docker, Kafka, Kubernetes, AWS, Microservices, Spring-Boot, Cloud Native applications

Java, Microservices, Typescript, Distributed Systems, Python, AI-powered developer tools, Prompt engineering, Event-driven systems, AI evaluation frameworks, APIs and platform engineering, Go, Agentic AI systems, Voice AI, Cloud-native architectures, Reliability and operational excellence, Conversational AI, Performance and scalability, AI orchestration