Gerald Matthews

Enterprise Solutions Engineer

Enterprise solutions engineer. 300+ demonstrations, deals from $250K to $1.5M, C-level and investor rooms.

Synthetic data Independent project September 2026 run

longswell revenue signal

An evidence scoring system for revenue teams. Corpus through interface, built around a single constraint: it does not produce a number it cannot support.

Judgment

A language model makes bounded per-record judgments. Does this record support or threaten this objective, and how strongly. One record, one question, one answer.

Arithmetic

Every number is computed in deterministic code. The model never aggregates, never weights, never returns a score. Scoring is arithmetic over judgments, not a judgment about arithmetic.

Verification

Quoted evidence is matched verbatim against its source record. A span that cannot be found is discarded rather than paraphrased into something defensible-looking.

Abstention

Below a coverage floor the system publishes nothing. Insufficient evidence is a supported output. A plausible number derived from two weak records is not.

600
Synthetic records
868
Record judgments
0
Failures
39
Spans discarded
3 of 8
Deals clear the floor
$2.02M
of $4.15M flagged

All figures from the September 2026 run · corpus is synthetic and deterministically generated · longswell is a fictional vendor

This prototype was built on my own time to deepen my working knowledge of applied AI and to have something concrete to point at rather than describe.

Built with Postgres, Node, TypeScript, React and Docker Compose, scored through the OpenAI API. I specified the architecture and the scoring rules, drove the implementation with AI coding tools, and operated and debugged the pipeline when it broke.

Request a walkthrough Hosted instance behind access control

Résumé

Track record

2026 to present Senior Product Solutions Architect Sorcero Detail

Expanded role within the Product organization, continuing all customer-facing pre-sales responsibilities while formalizing the bridge between field solutions work and product strategy.

  • Owns demo environment and prototype strategy for pre-release platform capabilities, validating AI features with prospects before they ship and feeding the results back into product decisions.
  • Leads customer-facing pre-sales solution consulting: demonstrations, technical deep dives and RFI and RFP support.
  • Translates field requirements and customer evidence into platform capability input, informing roadmap prioritization and positioning.
  • Shapes solution narratives and workflows connecting new platform capabilities to Medical Affairs use cases ahead of general availability.
  • Provides product and technical guidance to Solutions, Sales and go-to-market teams on strategic opportunities.
2023 to 2026 Senior Solutions Engineer Sorcero Detail
  • Led the solution consultant function as SE team lead. Designed, scripted and delivered 200+ technical demonstrations, and built the demo training curriculum used across the commercial organization.
  • Stood up and operated a full-stack AI platform prototype in a local Docker environment using agentic AI-assisted workflows: environment configuration, API key custody and security, deployment troubleshooting, and day-to-day operation of live demo instances.
  • Ran and monitored model-powered enrichment jobs that classified and scored 770+ synthetic life sciences records across stakeholder interactions, surveys, advisory boards, literature and congress abstracts, verifying output quality while managing API usage, concurrency and cost.
  • Directed development and validation of demo prompt libraries for the platform's retrieval-based insight engine, defining constraints from observed retrieval behavior: collection scoping, compliance guardrails, zero hallucination requirements.
  • Delivered live demonstrations of pre-release AI capabilities to enterprise prospects, fielding technical questions on scoring methodology including text comparison, time-decay weighting and data scoping, in partnership with Product.
  • Orchestrated C-level, investor and top 10 pharma targeted demonstrations supporting enterprise deals from $250K to $1.5M.
  • Advised clients on AI and data analytics under healthcare compliance standards including HIPAA and GDPR.
  • Crafted RFI and RFP responses for pursuits up to $1.5M with technical tradeoff and risk assessments, and handed off from pre-sales to implementation.
2021 to 2023 Senior Solution Consultant Science 37 Detail
  • Led the solution consultants team across 100+ platform demonstrations in decentralized clinical trials.
  • Built a 90-day onboarding program and personally onboarded five solution consultants to customer-facing readiness.
  • Directed executive and investor-facing demonstrations contributing to multimillion dollar enterprise wins.
  • Provided eCOA support: eConsent, ePRO, ClinRO and eSource forms built and presented inside the platform.
  • Delivered RFI and RFP responses, technical deep dives and strategic recommendations balancing tradeoffs against risk.
  • Acted as the liaison between customers and internal teams, and ensured architectural consistency across systems.
2014 to 2021 Senior Systems Engineer TWE Solutions Detail
  • Directed the customer solution team designing and implementing cost-efficient, low-risk infrastructure, working with sales and executive leadership to articulate differentiated capability during sales engagements.
  • Planned, implemented and documented Azure and data center infrastructure for new sales orders.
  • Administered multi-vendor firewall and switching environments across Palo Alto, Cisco, SonicWall, Meraki, Fortinet, Juniper, Arista, HP Aruba and Dell. Centralized management with Panorama and led migrations using Expedition.
  • Delivered technical training to colleagues and enterprise end users including Northrop Grumman.
  • Earlier: Systems Engineer at Third Wave Technology Services, 2010 to 2014. Microsoft Server, Exchange, SharePoint and Active Directory administration across 50+ client sites.

Ask

Rather than read the cards above, ask it something. Answers are generated from my résumé and the contents of this site.

Generated answers · verify anything that matters against the résumé


Writing

Reading an unfamiliar codebase What a schema's migration history tells you about the product that was actually built, why uniform error handling is a tell, where the real intellectual property concentrates, and which parts of a build collapse under AI assistance while others stubbornly refuse to.