Expertise Framework

Three Dimensions
of AI Mastery

12+ Years · Google · Silicon Valley

Twelve years of building, architecting, and advising at scale — distilled into three interconnected capabilities that move organizations from AI exploration to durable competitive advantage.

01
01 Enterprise AI Architect

Strategy to Scale

Strategy / Platform Design / Scale

I design the strategic blueprints that allow organizations to scale AI from isolated projects to a competitive advantage. The architecture decisions made at this layer — how signals are governed, how platforms are structured, how personalization is made durable — determine what's possible five years from now.

Capability Domain
5+
Core Competencies
3
Featured Projects
Millions
Users Served Daily
Core Competencies
Designing platform-level AI architecture that scales across teams, products, and geographies without accumulating technical debt.
Building centralized signal repositories with quality monitoring, versioning, and cross-team discoverability to accelerate ML development.
Hybrid ML + rule-based personalization engines with cross-product signal federation that serve millions of users in real time.
End-to-end ML platform integration covering feature pipelines, training workflows, serving infrastructure, and monitoring.
Navigating Privacy Working Group approvals, FHIR, HIPAA, and regulatory frameworks to build compliant systems without sacrificing signal granularity or personalization depth.

Need to build a scalable AI strategy? Let's architect it together.

Let's Talk →
Featured Projects
Enterprise AI
Signal Metadata Repository
Unified ML signal platform · Accelerated dev cycles
See it in practice →
Enterprise AI
Personalized Help ML
Millions of users served · Reduced support costs
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Enterprise AI
Differentiated Care Program
Privacy-first behavioral segmentation
See it in practice →
02
02 Production AI Engineer

Deployment & Reliability

Deployment / Reliability / Real-world Performance

I build AI systems that are reliable, cost-efficient, and performant under the pressure of millions of real-world requests. Serving production AI is an engineering discipline as rigorous as any distributed system — and most organizations underestimate what it takes to keep it running at scale.

On Engineering Leadership

"Production AI fails in the gap between research and reliability. The engineering discipline required to serve an LLM at enterprise scale — managing latency, cost, concurrency, and API stability simultaneously — is as demanding as building the model itself. That's where I operate."

Impact At Scale
$3.7M
Verified Economic Impact
~$30M
Scalable Potential
2× VP
Awards Earned
Core Competencies
Async batching, token bucket rate limiting, semaphore concurrency control, quantization, and caching — reducing per-evaluation cost while maintaining throughput.
Production RAG pipelines grounding LLM output in internal knowledge bases, policy documents, and product data — with version-controlled prompt libraries.
Flume, Dataflow, and Apache Beam pipelines designed for enterprise-scale ingestion with partitioning, windowing, and parallel processing.
Feature extraction across behavioral data, graph-based relationship scoring, and bulk suspension workflows that multiply reviewer throughput at scale.
A/B testing frameworks against manual baselines, model size experimentation, synthetic data augmentation, and API saturation mitigation under peak batch operations.

Have a complex AI engineering challenge? Let's debug it together.

Let's Talk →
Featured Projects
Production AI
GenAI QA Automation
$3.7M–$30M estimated economic impact
See it in practice →
Production AI
AdWords Fraud Detection
200+ reviewers empowered · VP Award
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Production AI
Ecommerce Refunds on Assistant
VP Award · Significant contact deflection
See it in practice →
03
03 Future-Ready AI Advisor

Longevity & Evolution

Longevity / Organizational Evolution

I help organizations and founders build for the next wave of AI, ensuring longevity and the ability to evolve. The systems that win tomorrow are being designed today — and the most important decisions aren't about which model to use, but how to build an organization that can adapt as models change.

Startup Advisory
Building Something That Matters?
Direct advisory access for AI-first founders on architecture, compliance strategy, and building systems durable enough to scale with your vision. View Advisory →
Advisory Scope
3
Domain Focus Areas
12–36
Month Roadmaps
Founders
Direct Advisory Access
Core Competencies
Diagnosing where AI creates durable value in new domains — separating genuine leverage points from hype-driven distractions.
Designing retrieval-augmented and on-premise LLM systems for regulated industries where data sovereignty is non-negotiable.
FHIR, HIPAA, and legal data handling frameworks embedded from day one — not bolted on after the architecture is already wrong.
Translating the frontier of AI research into actionable 12–36 month roadmaps that organizations can actually execute.
Working directly with founding teams on technical strategy, architecture decisions, hiring criteria, and investor narratives for AI-first companies.

Advising a disruptive AI startup? Let's connect.

Let's Connect →
Featured Projects
Future-Ready AI
One-Person Company OS
AI-assisted outreach workflows
See it in practice →
Future-Ready AI
Voice-Commerce
Bilingual voice-first rural marketplace MVP
See it in practice →
Future-Ready AI
Smart Parking Assistant
Physical AI architecture for real-world coordination
See it in practice →
Full Skills Matrix
Tools & Technologies
Category Technologies & Tools Level
LLM / GenAI
Gemini RAG Prompt Engineering Chain-of-Thought Few-shot Learning Vertex AI Local LLMs
Expert
MLOps
TensorFlow Servo Model Lifecycle Mgmt A/B Testing Synthetic Data Quantization
Expert
Data Engineering
Flume Dataflow Apache Beam C++ TVFs Async Batching Rate Limiting Signal Pipelines
Expert
Languages
Java Python C++ SQL AngularJS
Proficient
Cloud / Infra
Google Cloud Vertex AI Microservices RPC Services Atlas Platform
Expert
Leadership
Platform Architecture Cross-team Collaboration L4→L5 Mentorship Privacy Reviews Roadmap Design
Senior