VulkenVULKEN

Helping teams build AI
that actually works.

I help teams discover where AI can supercharge their business — then design, prototype, and deploy the features that matter most, from LLM copilots and custom ML models to automation systems.

Stanford AIMeta ML EngineerBuilt GenAI systems at Uber

What You Get

AI that works in the real world.

Reliable outputs

LLM behavior you can trust — with evaluation frameworks, guardrails, and hallucination mitigation baked in.

Clear ROI

Know exactly which AI investments will move the needle before you write a line of code.

Production-ready systems

Ship AI features that work at scale — not demos that fall apart under real traffic.

Confident teams

Your engineers and PMs walk away with the knowledge and frameworks to own what we build together.

Services

What I help with

From first prototype to production reliability — across the full AI stack.

01

AI Product Development

Design and build AI-powered product features.

  • AI copilots
  • LLM search
  • Workflow automation
  • Document intelligence
  • AI support agents
02

AI System Reliability

Make AI systems actually trustworthy.

  • Evaluation frameworks
  • Observability
  • Hallucination mitigation
  • Prompt/system architecture
  • Production monitoring
03

Custom ML Models

Build and deploy models tailored to your data and domain.

  • Classification & ranking
  • Fine-tuning foundation models
  • Anomaly detection
  • Recommendation systems
  • Model training pipelines
04

AI Discovery & Strategy

Uncover how AI can supercharge your organization — then build the roadmap to get there.

  • AI opportunity discovery
  • Org-wide readiness assessments
  • Product roadmaps
  • Build vs buy decisions
  • Feature ideation

Background

Experience building AI in production

I have spent most of my career building systems at the intersection of machine learning and real products.

At Stanford, I studied Computer Science & AI at the graduate level, building CNNs and GANs for biomedical applications — from predicting cancer aggressiveness in tissue samples to generating synthetic genomic sequences.

At Uber, I worked on GenAI-powered customer support systems that automated millions of interactions.

Today at Meta, I build machine learning systems used to detect scams and spam across billions of pieces of content.

Through Vulken, I help companies discover how AI can supercharge their organization — and then build the systems that make it real.

Stanford

MS in Computer Science & AI — CNNs, GANs, and computational biology research

Uber

GenAI-powered support automation serving millions of users

Meta

ML models detecting spam and scams across billions of pieces of content

Founder

Built and shipped products used across 55+ countries

This combination of graduate research, large-scale production systems, and startup product building lets me help teams bridge the gap between AI prototypes and real products.

Use Cases

Example problems I help solve

We know AI is important but have no idea where to start.

Run a discovery sprint to map your highest-value AI opportunities and build a concrete action plan.

We want an AI copilot but don’t know where to start.

Define product scope, architecture, and first prototype.

Our AI feature works in demos but fails in production.

Build evaluation frameworks and guardrails.

We want to integrate LLMs into our product.

Design the system and build the first production version.

We’re experimenting with AI but can’t measure quality.

Implement automated evaluation and monitoring.

Our team has a dozen AI ideas but no clarity on which ones matter.

Audit your product surface, rank opportunities by feasibility and ROI, and build a focused roadmap.

Leadership wants an AI strategy but we don’t know what’s realistic.

Separate hype from substance — identify where AI actually fits your product and where it doesn’t.

Process

How I work

Most engagements start with a short collaboration to understand your product and identify the highest-impact AI opportunities.

Product explorationArchitecture designAI feature prototypingReliability and evaluation frameworks

If there is strong alignment, this can evolve into ongoing advisory or build support.

Exploring AI in your product?

If your team is thinking about AI features or struggling with an existing implementation, I'd be happy to talk.

Or if you just want to chat about AI and where things are headed — I'm always up for that too.

or email hello@vulken.ai