Dhruv Doshi

Dhruv Doshi

Staff Software Developer & Enterprise Architect

My work sits where AI systems, distributed platforms, observability, and enterprise architecture meet. I stay close to the code and build the infrastructure, controls, and platforms that turn complex technical ideas into dependable production systems.

ExperienceSelected workTechnical notesTechnical guidesEmail

Work at a glance

1,000+
architecture patterns mapped into a production recommendation platform
150 TB/day
institutional log volume designed for vendor-neutral routing
10,000+
systems covered by a shared observability architecture
20+ teams
enabled through OpenTelemetry schemas and onboarding standards

Selected work

All work

Platform engineering · RBC · Production

Architecture Solution Blueprint platform

Designed and led the zero-to-one delivery of an enterprise platform that turns 1,000+ architecture patterns into real-time service recommendations, solution blueprints, and automated architecture workflows.

Technologies: TypeScript, React, Node.js, Rules engine, Enterprise architecture

Details

Distributed systems · RBC · Institution-wide

Vendor-neutral observability platform

Architected a vendor-neutral OpenTelemetry and telemetry-routing platform designed for approximately 150 TB/day across 10,000+ systems, enabling governed collection and routing without coupling teams to a single observability vendor.

Technologies: OpenTelemetry, Kafka, Vector, Fluent Bit, Logstash

Details

AI systems · RBC · In development

ASB Assist

Building an LLM and RAG architecture assistant that turns natural-language requirements into architecture recommendations and diagrams using retrieval, tool integration, evaluation, grounding controls, guardrails, and auditable workflows.

Technologies: Python, LLMs, RAG, Evaluation, Tool integration

Details

Zero-to-one product · HealthCard · Acquired startup

Healthcare verification platform

Joined as the first engineer and built the platform across React and TypeScript, Node.js APIs, verification workflows, document-classification integration, and AWS EKS in a regulated healthcare environment.

Technologies: React, Node.js, AWS EKS, Hyperledger Fabric, Solidity

Details

Guides

Browse topics
AI governance for software systems: controls that fit deliveryAI governanceObservability systems: design the telemetry path before the dashboardObservabilityPlatform architecture: from standards to a usable productPlatform architectureStaff engineering practice: create leverage through clear systemsStaff engineeringCloud migration: sequence decisions, not just workloadsCloud architecture

Notes

All notes
Production RAG requires retrieval evidence and controlAI governanceFINOS CALM and architecture as codePlatform architectureDesign safe tool use for AI agentsAI governanceEvaluate LLM systems as systemsAI governanceOpenTelemetry pipeline architecture for vendor-neutral observabilityObservabilityMeasure whether an internal platform creates leveragePlatform architecture

Engineering scope

AI systems and agent infrastructure

Retrieval, tool use, evaluation, grounding, guardrails, and auditable workflows for dependable AI systems.

LLM systems · RAG · Agents · MCP · Evaluation · Python

Distributed systems and platforms

Hands-on design and delivery across scalable services, event-driven workflows, APIs, data contracts, and platform boundaries.

Kafka · TypeScript · Node.js · Go · PostgreSQL · Redis

Observability and infrastructure

High-volume telemetry, cloud platforms, infrastructure as code, distributed tracing, reliability, and production diagnostics.

OpenTelemetry · Vector · Fluent Bit · Kubernetes · Terraform · AWS

Security and governance

Identity, authorization, zero-trust integration, architecture decisions, responsible AI controls, and regulated delivery.

IAM · OAuth/OIDC · Zero Trust · Auditability · ADRs · AI governance