Platform Engineering & AI Systems

Real deliveries across declarative platforms, AI-native applications, cloud infrastructure, and responsible AI.

Platform & System Delivery

A mix of declarative platforms, AI-native applications, and cloud infrastructure. Each engagement ends with clean handover: code, documentation, and operational runbooks.

AI assistant interface with conversation and tool execution
AI Application

AI-Native Assistant Platform

Multi-tenant AI assistant platform with RAG search, tool execution, and workflow automation. Built on declarative principles for rapid customization.

  • Challenge: Reduce development time for custom AI assistants while maintaining security and observability.
  • Solution: Configuration-driven assistant framework, semantic search, action APIs, and real-time monitoring.
  • Outcome: 24/7 intelligent support with 60% reduction in routine operational tasks.
AI-NativeRAGAutomation
Cloud infrastructure dashboard with metrics and distributed tracing
Infrastructure

Cloud-Native Platform Infrastructure

Designed and implemented Kubernetes-native infrastructure for AI platform with full observability, security hardening, and multi-cloud deployment capabilities.

  • Challenge: Provide reliable, observable infrastructure for distributed AI workloads across multiple environments.
  • Solution: Kubernetes operators, OpenTelemetry instrumentation, secure service mesh, and GitOps workflows.
  • Outcome: 99.9% platform availability; 80% faster incident resolution; consistent deployment across cloud providers.
KubernetesObservabilityCloud Native
Governance dashboard showing compliance status and audit trails
Governance

Enterprise AI Governance Platform

Built governance framework and tooling for AI systems in regulated environments, featuring audit trails, policy enforcement, and compliance reporting.

  • Challenge: Enable AI innovation while meeting strict compliance requirements and audit readiness.
  • Solution: Built-in audit logging, policy-as-code framework, compliance dashboards, and risk assessment workflows.
  • Outcome: Accelerated AI adoption with 100% audit compliance; reduced compliance review time by 75%.
GovernanceComplianceSecurity
Developer platform with API management and workflow tools
Developer Platform

Internal Developer Platform

Created internal platform enabling development teams to build, deploy, and operate AI applications with built-in security, observability, and compliance.

  • Challenge: Standardize AI application development while maintaining flexibility and innovation speed.
  • Solution: Self-service platform with golden paths, automated security controls, and developer tooling.
  • Outcome: 50% reduction in time-to-production; consistent security posture across all applications.
Platform EngineeringDeveloper ExperienceInternal Tools
RAG platform interface with document management and semantic search
RAG Platform

Enterprise RAG Platform

Built scalable RAG platform for enterprise knowledge management, featuring document ingestion, vector search, and multi-tenant isolation.

  • Challenge: Make enterprise knowledge bases searchable and actionable while maintaining data security and performance.
  • Solution: Distributed vector database, adaptive chunking, embedding pipelines, and access control integration.
  • Outcome: 90% improvement in information retrieval accuracy; support for millions of documents with sub-second response times.
RAGVector SearchKnowledge Management

Build Your AI Platform — Fast and Responsible

Whether you need a declarative platform, AI-native applications, or cloud infrastructure — we deliver production-ready systems with clean handover.