LLM-ready enterprise platforms
Chandan Bilvaraj
AI-native platform design for modern enterprises
Designing LLM-ready platforms, intelligent systems, and cloud foundations that feel built for what’s next.
Bengaluru-based architect with 12+ years across platform engineering, cloud modernization, full-stack delivery, and enterprise AI adoption. I work where product ambition, governance, and technical depth need to move together.
LLM PlatformsGraphRAGAgentic AIAzure + AWSContextOpsDevSecOps
Profile Highlights
Quick signals worth noticing.
GraphRAG, MCP, LangChain, ContextOps
Azure, AWS, Kubernetes, Terraform
12+ years across delivery, architecture, and modernization
IIoT, automation, analytics, web, mobile
Awards, certifications, and technical speaking
LLM-ready enterprise platforms
GraphRAG, MCP, LangChain, ContextOps
Azure, AWS, Kubernetes, Terraform
12+ years across delivery, architecture, and modernization
IIoT, automation, analytics, web, mobile
Awards, certifications, and technical speaking
Profile
Creative technologist, enterprise architect, and builder of intelligent systems.
Your profile reads strongest when it blends two things: deep enterprise architecture and genuine curiosity for emerging technology. That combination comes through in the way you move between AI architecture, IIoT, automation, mobile, web, and cloud-native systems without losing product focus.
The result is a story that feels modern: not just someone who ships software, but someone who can shape the platform, the delivery model, and the operating principles behind next-generation AI products.
Engineer, digital innovator, and systems thinker
Blends enterprise architecture with practical product delivery
Strong background across IIoT, automation, cloud, and AI-enabled platforms
Focuses on durable systems that stay elegant under real-world complexity
Snapshot
Top Skills
Azure Infrastructure as a ServiceAzure ContainersGenAI App DevelopmentMicroservicesAPI-first DesignPlatform Architecture
Languages
English • Italian • Spanish
Recognition
Innovative Contributor • Stellar Performance • Most Valuable Professional
AI Direction
What should stand out most in 2026: AI architecture with operational depth.
The strongest differentiator is not only knowing AI tools, but knowing how to make them trustworthy, scalable, interoperable, and enterprise-ready.
LLM Platform Architecture
Designing governed AI gateways, hosted model integrations, and scalable patterns that help enterprises adopt LLM capabilities safely.
GraphRAG & Knowledge Systems
Building retrieval and reasoning experiences powered by knowledge graphs, context-aware pipelines, and grounded enterprise data access.
Multi-Agent Workflows
Creating orchestrator and agent-based systems with MCP and LangChain, with strong attention to memory, tools, and context quality.
Experience
A career arc that moves from hands-on building to AI platform leadership.
Jul 2024 - Present
MathCo
Platform Architect
Leading platform and AI architecture for enterprise-grade products with a sharp focus on LLM integration, governance, GraphRAG, and production-ready AI capabilities.
- Architected NucliOS as a low-code data science platform with end-to-end platform and AI design.
- Designed AI Mesh and a unified AI Gateway for secure, governed access to hosted LLMs.
- Built GraphRAG pipelines and knowledge graph patterns for context-aware analytics.
- Established ContextOps and context engineering practices across prompt, memory, tools, and knowledge flows.
Jan 2023 - Jul 2024
MathCo
Engineering Manager
Led cross-functional delivery for cloud-native analytics products while improving architecture maturity, modernization strategy, and engineering execution.
- Delivered a microservices-based analytics studio from design to production.
- Drove migration of legacy platforms into AKS-based environments.
- Strengthened CI/CD, infrastructure-as-code, and technical mentoring across the team.
Dec 2017 - Dec 2023
Carbynetech
Technical Architect / Senior Technical Lead / Senior Software Engineer
Built enterprise SaaS and multi-tenant platforms on Azure, combining full-stack execution, secure API architecture, and DevSecOps delivery patterns.
- Designed enterprise SaaS, GIS, and multi-tenant systems with API-driven architectures.
- Spearheaded flagship product development across React, Node.js, and platform services.
- Implemented Docker, Kubernetes, CI/CD, and cloud deployment workflows.
May 2014 - Oct 2017
3E Software Solutions
Software Engineer / Web & Mobile Application Developer
Delivered hybrid and native products with offline-first design, API integration, and secure cloud-connected workflows.
- Built web and mobile applications with hybrid and native approaches.
- Implemented REST APIs, authentication flows, sync patterns, and data integrations.
- Worked with Azure Data Factory, SQL/NoSQL pipelines, Maven, Git, and Gerrit.
2011 - 2014
Earlier Roles
Android Application Developer / Web Developer Intern / Student Intern
Started with Android, PHP, CodeIgniter, and web app development, building the hands-on foundation that later evolved into architecture and platform leadership.
- Developed and tested Android applications, including Play Store releases.
- Built web apps and APIs using PHP and CodeIgniter.
- Developed strong product and engineering fundamentals early in the career.
Selected Work
Projects and themes that position the portfolio around AI, platform thinking, and modern architecture.
NucliOS
A low-code data science platform designed for enterprise teams that need analytics, AI workflows, and governance to coexist in one operating model.
AI Mesh
A mesh-like architecture for connecting enterprise products to hosted AI models with policy control, observability, and reusable integration patterns.
Unified AI Gateway
A governed gateway that standardizes access to LLM providers and internal AI services while preserving security and compliance expectations.
GraphRAG Knowledge Pipelines
Knowledge graph backed retrieval systems that improve grounding, contextual relevance, and explainability for analytics and enterprise assistants.
Analytics Studio
A microservices-based analytics environment delivered with cloud-native architecture, AKS, modern CI/CD, and stronger platform reliability.
IIoT & Automation Solutions
Smart digital solutions spanning IIoT, industrial automation, and process performance, turning complex operational needs into usable software systems.
Technology Stack
AI-first capability layered over serious cloud and engineering depth.
AI / LLM Stack
Agentic AIGraphRAGKnowledge GraphsHosted AI ModelsMCPLangChainAI Gateway DesignContext EngineeringGenAI App DevelopmentAI Governance
Cloud / Platform
AzureAWSKubernetesAKSECSTerraformAzure ContainersServerlessInteroperabilityMulti-cloud Architecture
Engineering / Product
PythonTypeScriptJavaScriptReact.jsNode.jsJavaSwiftMobile App DevelopmentMicroservicesAPI-first Design
DevSecOps / Reliability
CI/CDInfrastructure as CodeSASTDASTSCAPlatform SRECompliance by DesignProduction ReadinessOperational Excellence
Certifications
- Microsoft Certified: Azure Fundamentals
- Microsoft Certified: Azure Developer Associate
- Microsoft Certified: Azure AI Engineer
- Certified Scrum Master (CSM)
- Accredited Systems Engineer - Cloud Architect
- Certified Kubernetes Application Developer
Speaking
- Embed Durable Architectures for AI Workloads (2024)
- Building Interoperable Architecture for Platforms (2025)
- API-Driven Design (2021)
- Microservices & Service Mesh Practical Implementations (2020)