David John Thammineni

Lead Frontend Architect · AI-Native Product Engineer

I build AI-native products where intelligence meets interface.

14+ years architecting frontends for Autodesk, Standard Chartered, EY, and global pharma — now applying that craft to LLM-powered experiences: retrieval-augmented copilots, agentic workflows, and streaming interfaces that make AI feel effortless.

14+

Years of experience

$14M

New monthly revenue unlocked at Standard Chartered

44+

Markets launched

60%

Performance uplift on enterprise platforms

Trusted by teams atEnercarePinnacle (Cresendo Technology)AutodeskStandard CharteredErnst & YoungAccion LabsIndegeneBrady Corp

What I Do

From model to interface — I ship the full surface area of modern AI products, grounded in enterprise-scale engineering discipline.

AI & LLM Engineering

Designing and shipping AI-native product experiences — from model integration to the interaction layer users actually feel.

  • LLM integration & prompt orchestration
  • RAG pipelines & vector search
  • Agentic workflows & tool calling
  • Streaming UX, evals & guardrails

Frontend Architecture

14+ years architecting design systems, monorepos, and high-traffic applications for global enterprises.

  • React, Next.js, Vue, TypeScript
  • Design systems & micro frontends
  • Nx monorepos — 40% faster builds
  • Performance engineering & Core Web Vitals

Full Stack & Cloud

Scalable services and infrastructure that keep AI products fast, reliable, and affordable at scale.

  • Node.js, WebSockets, microservices
  • AWS, GCP, Azure, Docker, CI/CD
  • Supabase, MongoDB, event queues
  • SEO & conversion optimization

Data & Immersive Visualization

Turning complex data into interfaces people understand — dashboards, 3D, and interactive storytelling.

  • D3.js data visualization
  • Three.js & 3D medical animation
  • Interactive financial dashboards
  • Figma-to-production design flow

Building something AI-native?

Whether it's an LLM copilot, an agentic workflow, or an enterprise frontend that needs to scale — let's talk.

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