triton , Jax, Linux kernel, Cuda, Tensorflow, Pytorch, Distributed Systems, Python, MPI, accelerator firmware, Libfabric, UCX, large-scale cluster software, GPU drivers, ROCm, vLLM, agile software development practices, GitHub Actions, oneAPI, SYCL, NCCL, RCCL

triton , Linux kernel, Tensorflow, Github, Jax, Distributed Systems, Pytorch, Cuda, Python, Agile Software Development, ROCm, vLLM, large-scale cluster software, UCX, MPI, accelerator firmware, GPU drivers, RCCL, NCCL, SYCL, Libfabric, oneAPI

triton , Jax, Linux kernel, Tensorflow, Pytorch, Distributed Systems, Python, Cuda, multi-node fabric-attached environments, multi-GPU, MPI, UCX, large-scale cluster software, GPU drivers, GitHub Actions, accelerator firmware, Libfabric, ROCm, vLLM, agile software development practices, oneAPI, SYCL, NCCL, RCCL

React, Typescript, Distributed Systems, Microservices, Python, Next.js, LLM orchestration, RAG pipelines, generative AI features

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, offline test sets, live traffic sampling, real-time performance monitoring, caching strategies, AI capability routing and orchestration, model serving infrastructure, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, evaluation and quality assurance infrastructure, observability tooling, large-scale AI platform engineering, intelligent query classification

Cloud Platforms (AWS/Azure/GCP), Distributed Systems, Big Data Architecture, Generative AI, Graph ML, ML Platform Engineering

Data Privacy, Node.js, Microservices, Angular, React, Distributed systems architecture, Debugging frameworks, Multi-agent frameworks, Security, LLM-powered applications, Java Spring Boot, Observability, Governance in AI systems

Containers, API design, Data Modeling, Microservices, Concurrency, Terraform, Python, AWS, Java, Gcp, System Design, Distributed Systems, Rest Apis, Azure, Kubernetes, Infrastructure as Code, AI Agents, Performance optimization, Large-scale distributed systems, Cloud-native applications, Backend services, Generative AI, DevOps practices, oci, Event-driven architectures