The team

Built around the art and the science.

We don't lead with titles. We lead with what we've shipped. On one side, years of building production AI systems at Fanatics scale. On the other, cinematic generative craft that has run through feature-film pipelines at DNEG. Most teams have one. The rare value is having both under one roof.

The Science

AI systems that ship

7+ years across product, operations, automation and AI systems — and 3+ years building production LLM workflows that run in the real world, not in a slide.

  • 12+ production AI initiatives shipped at Fanatics, a Fortune 500 sports-commerce platform serving millions of SKUs
  • Model evaluation as infrastructure — HELM-style evals, multi-model comparison, regression testing, DocETL pipelines
  • Agents & automation — conversational systems, support-bot containment, image/content QA, workflow architecture
  • AI safety — prompt-injection red-teaming, defensive prompting and guardrails
  • Published & on stage — co-authored AI research (Taylor & Francis / CRC Press, 2024) and an ISB panel on applied AI
  • Operator's instinct — a founder track record of growing products and communities from zero
The Art

Cinematic generative craft

Creative technologists and AI artists who work where generation meets real production — where continuity, color, editorial and delivery actually matter.

  • Feature-film generative VFX via DNEG — on titles including Ramayana (Namit Malhotra's upcoming epic), The Odyssey and Dune: Part Three
  • Digital humans & identity — face ingest, swap, lip-sync and performance transfer, composited to spec in Nuke
  • Continuity systems — prompt architecture and visual consistency for characters, environments and cinematic sequences
  • Editorial, color & motion — After Effects, Premiere, Maya; finished, release-ready cuts
  • Content that performs — short-form and campaign work with 1.5M+ client-reported views
  • Multilingual production — cinematic work across English, Hindi and Telugu releases
Proof

Proof, not promises.

Selected outcomes the team has produced across enterprise AI and creative production. Experience proof points — see the full breakdown on the case studies.

22% → 45%

Conversational AI containment

Support-bot re-architecture that cut human handoffs and cost-to-serve in production.

Fanatics · CX automation
50%

Faster time-to-production

A benchmark-driven prompt lifecycle from intake to evaluation to deployment.

Fanatics · AI ops
3M+

AI product descriptions

Prompt systems generating content across millions of SKUs and 1,000+ sites.

Fanatics · content
1,000/batch

Bulk image AI auditing

Strict JSON contracts delivering stakeholder-ready evaluation to production.

Fanatics · multimodal
1.5M+

Client-reported views

Short-form and campaign content across Instagram, YouTube and Facebook.

Creative production · reported
3 films

Feature-film VFX credits

Generative-AI production work via DNEG — Ramayana, The Odyssey, Dune: Part Three.

Creative production · VFX
The stack

The tools we actually run.

Science · AI systems
ClaudeGeminiAmazon BedrockGoogle Vertex AIOllama · LM StudioDocETLDialogflowPythonRAG · Evals
Art · creative production
ComfyUIFluxRunwayGoogle VeoKlingMidjourneyAdobe FireflyNukeAfter Effects · Premieren8n · Langflow
One team, one owner

Brief one lead. Get the whole capability behind them.

You work with a single operator who lives inside the problem. The science and the art run in parallel behind them — invisible to you, integrated for you.