Forward-deployed engineering for GTM, Finance, and process.
I embed inside the team that owns the workflow — GTM, Finance, or the process caught between them — and ship the system that runs it. Then I layer agentic AI on top, so it stops just recording what happened and starts deciding what happens next.
MOVING TRAINING TO PRIVATE GPUs
BY A PRIVATE FINOPS MODEL
AFTER AI-CENTRIC PIPELINE REDESIGN
GOVERNED ACROSS SAAS AND CAPEX
Most people specialize in one lane — AI, or finance, or GTM. I work forward-deployed across all three, embedded where the process actually breaks.
One accountable lead. A bench that scales with the build.
I own every engagement personally — the scoping, the architecture calls, the conversations with your leadership team. When a build needs more hands than one person can put in, I bring in senior talent from a network I've built across the United States, Canada, and India — the people who've actually shipped this kind of work before, not a general staffing pool — to deliver custom apps, products, and IT services on the timeline the business needs.
Senior engineers, close to the business
Embedded during your business hours for direct collaboration with stakeholders, architecture reviews, and decisions that need a fast loop back to you.
Deep bench, extended coverage
Vetted senior engineers who extend build capacity and push delivery further each day, without the overhead of a traditional agency.
Two senior partners, on call
A CTO with 20 years of forward-looking technology leadership, and a strategy and procurement specialist who lives in FinOps — both available to pressure-test decisions before they get expensive.
Three ways engagements usually start.
Phase 0
A deep dive into process, features, and necessity.
AI enablement & ways of working
Build the harness, the pipelines, and the evaluation loop that let a team ship models safely, not just demo them.
FinOps & spend governance
Tie infrastructure and SaaS spend back to product ownership, with forecasting a controller can actually sign off on.
Engagements that end in a system running in production, not a deck.
Partner
Forward-deployed engineering focusing on AI transformation- Creation of a complete harness, linking frontier public and private models into one seamless front end
- Optimization of the harness's ways of working, creating more than 50 unique jobs
- Full end-to-end creation of GTM and Finance related systems and insights through AI
- Optimization of memory, session, and data containment for customers
Director of R&D
Forecast and optimize R&D spend at scale- Structured a Center of Excellence from scratch, bringing accountable and informed parties into one rational decision process
- Managed a total budget of $100M in SaaS spend and $50M in Capex
- Set and delivered a 5% savings target on Opex spend
- Ran QBRs tying spend to product velocity, directing investment to the right priorities
- Built forecasting and showback models tying infrastructure consumption to product and team ownership
- Managed vendor relationships and renewals, negotiating commercial terms against actual usage
- Acted as liaison to FP&A, reconciling R&D actuals to budget and translating technical drivers into financial narrative
CTO
Transform current operations to be AI-centric- Creation of 3 new semantic layers, with an F1 of 0.8
- Full AI transformation of development ways of working, reducing time to deployment by 50%
- Pipeline re-design allowing multi-model comparison and actionable output
- Complete re-dashboarding, surfacing actionable insight across all operations
- Worked with the CFO and Controller, modeling long-term cost across both G&A and Capex investments
- Architected private training infrastructure and public inference paths, reducing cost by 70%
Head of Finance Systems and Insights
Accelerate global finance transformation- Established Finance as the single source of truth, consolidating 50 unstructured data sources into a governed reporting foundation
- Architected 30 projects across O2C, C2C, and R2R, aligning systems to end-to-end finance processes
- Partnered with FP&A and Controller initiatives, modeling their short- and long-term goals
- Acquired, rolled out, and trained the org on 3 finance-specific tools
- Optimized GTM systems, streamlining quote-to-cash and revenue reporting flows
- Built an architecture and partnership model with key vendors, aligning roadmaps to internal priorities
Head of GTM and Finance Architecture
Streamline the global operation stack- Coupled and optimized 150 integrations, cutting sync time to under 1 minute
- Led a complete transformation of the team, reducing time to deployment by 40%
- Established a cross-functional governance and architecture framework
- Drove cost governance, reducing spend 5% YoY while retaining best-in-class SaaS providers
- Trained the internal team to deliver, reducing external footprint by $2M/year
Senior Director — Enterprise Architecture
Transform 3S accounts and modernize their tech stack- Ran management consulting for Fortune 100 accounts, delivering 30 engagements over 4 years
- Focused on Finance and GTM transformation, architecting over 500 tangible outcomes
- Led hundreds of workshops, bridging Finance transformation objectives to GTM initiatives
- Integrated more than 300 different endpoints
- Built business-driven insights dashboards and the enablement behind them
Head of Architecture — Finance & GTM Systems
Build from scratch- Built all GTM and Finance capacity from the ground up, integrating 25 systems
- Created a data lake and integration layers for BI consumption
- Architected and deployed over 40 data integrations
- Drove process optimization through repeated leadership transitions
Software Architect
Building systems at scale- Led architecture for GTM and Finance transformation across 10+ Enterprise accounts
- Sold and influenced deals, shaping architecture and future-state stack decisions
- Worked primarily on Finance integrations and the downstream impact from GTM systems
Software Engineer
Learning the basics of SWE- Tech lead on a mega transformation project, owning full integration capacity
- Architected and implemented a full data catalogue, touching close to 3,000 data points
- Built and deployed contained routine work following strict CI/CD principles
Let's talk about what you're building.
I take on a small number of engagements at a time — enough to actually own the outcome, not just advise on it.
The work extends further with the right partners.
For engagements that call for a broader agentic AI practice beyond a single embedded engineer, Agentic AI Solutions is a trusted partner for phased discovery-to-execution builds.