Piyush Dewnani

With over 8 years of experience as a System Architect, I specialize in designing, implementing, and operating scalable, secure, and reliable cloud-native solutions. I bring startup-level ownership and pace, balanced with enterprise-grade standards, thriving as a maker who transforms complex requirements into robust, customer-centric platforms. Recently at Adobe, I drive strategic decisions regarding architecture, security, and network topology for complex hybrid public-private cloud deployments. A major focus of my recent work involves fundamentally revamping core platforms to natively support emerging agentic workloads. My deep understanding of Large Language Models (LLMs) and hands-on experience building AI Agents allow me to leverage the broader AI ecosystem to accelerate product innovation and shape the next generation of intelligent enterprise systems. My technical foundation spans automation, multi-cloud SaaS strategies, and distributed data systems. Core Technical Expertise: · Platform & Cloud: Kubernetes, OpenShift, AWS, Azure, Terraform, ArgoCD, Infrastructure as Code, Service Mesh (Envoy, Contour, Istio) · Distributed Systems: Multi-tenant architectures, micro-services, API-first platform transformation to Agentic workloads · Data Platforms: Apache Spark, Airflow (K8s), workflow orchestration, high-volume event/batch processing (Kafka), and Controllers/Operators (Airflow, Spark) · Networking: Envoy, ingress, TLS, CDN (Cloudflare), traffic shaping, Cell-based Networking on AWS/Azure · Reliability Engineering: SLOs, error budgets, incident management, observability · AI/GenAI Systems: LLMs, agentic workflows, LangChain, MCP tools, AI-driven ops · Programming: Go, Python, C/C++, Java