Consulting · AI/ML Advisory

AI & ML Consulting
for teams building at scale.

7+ years shipping AI infrastructure at Google, Amazon, and high-growth startups.

From GenAI strategy to production LLMOps — I help engineering teams solve hard problems faster. Advisory, embedded, or project-based engagements.

Accepting select engagements Start a conversation → LinkedIn
7+
Years Google & Amazon
10B+
Events / Day at Scale
1
US Patent · Swarm AI
27
Academic Citations

Services

06 offerings
GenAI Strategy & Architecture Strategy
End-to-end guidance on adopting LLMs, RAG pipelines, and agentic workflows. Technical architecture reviews and build-vs-buy analysis for teams moving from prototype to production.
LLM Selection · RAG Design · Cost Optimization · Roadmap
LLMOps & ML Infrastructure Platform
Production-grade ML platforms: prompt versioning, evaluation frameworks, model serving, and continuous fine-tuning pipelines. Hardened patterns drawn from Google's own internal stack.
LLMOps · gRPC/Protobuf · Evaluation · CI/CD
Synthetic Data & RLHF Data
High-fidelity data generation pipelines for instruction tuning and alignment. Gemini-powered workflows for SFT and RLHF — the same techniques used at scale inside Google Cloud AI.
Gemini · SFT · RLHF · Data Quality
Data Platform & Pipelines Infra
Scalable data ingestion and real-time event streaming, data lake design, and warehouse architecture. Battle-tested patterns from building systems processing 10B+ events/day.
Kinesis · GCP · AWS · Distributed Systems
Technical Due Diligence Diligence
AI/ML technical assessments for investors and acquirers. Architecture reviews, risk analysis, team and codebase health, and competitive benchmarking with clear written deliverables.
Assessment · Risk Analysis · Benchmarking
Speaking & Workshops Speaking
Keynotes, technical talks, and hands-on workshops on GenAI, swarm intelligence, and building AI at scale. Previous venues include IDSIA (Switzerland) and the University of New Brunswick.
Keynotes · Workshops · Team Training

Engagement Models

03 formats
90m
Advisory Call
One-time · 90 minutes
Focused deep-dive into your architecture, roadmap, or a specific technical problem. Includes a follow-up written summary with actionable recommendations.
Deep dive
∞
Embedded Advisor
Monthly retainer · Ongoing
Weekly sessions plus async access for architecture reviews, code reviews, and hands-on prototyping. Deep integration with your team's existing workflow and tools.
Ongoing POPULAR
2–8w
Project Sprint
Fixed scope · 2–8 weeks
End-to-end delivery for a bounded problem — architecture, implementation, documentation, and knowledge transfer to your team. Fixed scope, fixed timeline, fixed price.
Delivery

How We Work Together

04 steps
01 — Discovery Call 30 min · Free
No prep needed — bring whatever is top of mind
  • Quick introduction and overview of your current challenge or goal
  • High-level assessment and initial thoughts on approach
  • Determine if there's a mutual fit for a deeper engagement
02 — Proposal & Scoping Within 48 hrs
Clear scope, transparent pricing
  • Written proposal with objectives, deliverables, and milestones
  • Pricing options — fixed scope, hourly, or monthly retainer
  • Revision cycle until we both feel confident in the plan
03 — Execute & Deliver Duration varies
Hands-on work, async-first collaboration
  • Regular check-ins via your existing tools (Slack, GitHub, Jira, Linear)
  • Iterative delivery with weekly demos and progress reports
  • Code reviews, pair programming, and architecture guidance as needed
04 — Handoff & Support +2 weeks
Knowledge stays with your team
  • Full documentation, runbooks, and architecture decision records
  • Team walkthroughs and Q&A sessions on the delivered work
  • Two weeks of post-engagement support included at no additional cost
Let's build something remarkable.
Working with teams shipping to production · limited availability
Get in touch → Connect on LinkedIn