What I do
I serve as AVP & Principal in Genpact's Retail Applied Advisory practice, where I work with retail and CPG executives on AI-driven transformation — modernizing measurement stacks, rewiring omnichannel operations, and closing the signal-to-action loop. I also co-founded GTMify.io, a B2B go-to-market platform that operationalizes outbound, RevOps, and AI-agent orchestration for founders and revenue teams.
How I work — fractional Forward Deployed Engineer model
Borrowed from Palantir and now standard at OpenAI, Anthropic, and the frontier AI cos: the Forward Deployed Engineer (FDE) is an engineer who embeds with the customer, ships production systems inside their environment, and owns end-to-end delivery — not a hand-off-to-customer-success model. That's the engagement shape I run, fractionally, through Stravonvale.
In practice that means I'm not a deck-and-recommendations advisor. I sit inside your Slack, write the n8n workflows, build the RAG corpus, harden the LLM pipeline, tune the agent system prompts, and stay until the production system is governed, observable, and being used by your team independently. Fractional means I do this across two to four clients at once, not 1.0 FTE on one. Forward deployed means the work happens in your repo, your stack, your data — not in a parallel slideware universe.
The Q2 2026 AI labor market is paying premiums for production builders, not theorists. Compensation now correlates with what you've shipped, not what you've planned. The four skill areas the market is repricing fastest — production LLM deployment, context engineering, AI cost optimization, AI governance — are the four I build against in every engagement.
Three pillars
Everything I work on sits at the intersection of three things. None is unique on its own; the combination is.
Go-to-market systems. Most GTM strategies fail not from lack of effort but from lack of system. I engineer unified revenue engines — outbound, RevOps, measurement, content, and channel execution wired into a single intelligent workflow. Fragmented tactics, no matter how well-run individually, lose to integrated systems every time. This is the primary craft.
AI engineering and agentic builds. The market is paying premiums for builders, not theorists. Through GTMify and client engagements I run production LLM pipelines, build context-engineered agent systems, orchestrate multi-step revenue automations, and harden the governance and cost layer underneath. AI-drafted outbound, autonomous prospect research, closed-loop optimization, RAG over enterprise corpora, AI-native measurement. The agentic stack I advise on is the stack I ship.
Retail and CPG domain depth. 25 years across retail, consumer goods, and retail-adjacent manufacturing. I understand how retailers actually measure, how CPG brands actually go to market, what breaks at scale, and where AI meaningfully changes margin versus where it is pilot theater. Domain is the difference between a take that sounds smart and a take a CDO can act on Monday morning.
Selected impact
- $100M+ in total measurable client impact across enterprise engagements.
- 40% reduction in CPG time-to-market via an AI-powered orchestration engine.
- $50M in new revenue within 18 months for a Fortune 500 omnichannel GTM transformation.
- 45+ production AI agents across the GTMify platform — multi-agent orchestration on Paperclip, n8n, and Trigger.dev. Daily inference at client scale, governed, observable, cost-tuned.
Recognition
- RETHINK Retail — Top Retail Expert, 2025 and 2026
- Top AI in Retail Leader, 2026
Background
BS in Economics from James Madison University, with minors in Political Science and Mathematics. Based in the Greater Philadelphia area.
Three POV streams, one person
I write in three distinct voices. Retail POV is for retail and CPG C-suite leaders — the Chief Digital Officers, Chief Data Officers, and VPs of Transformation weighing where AI actually earns margin. GTM POV is for B2B founders and revenue operators building outbound-driven revenue engines. AI & Agentic POV is for technical builders, Heads of AI, and operators shipping production agents — Claude, MCP, eval harnesses, and the agentic stack as it actually runs. Same person, same principles, different audiences.
Contact
The best way to reach me is via LinkedIn. For engagement inquiries, include a sentence on what you're solving and what the deadline looks like.