Industries · where the pattern has already worked

Different industry. Same playbook.

I don't specialize in one vertical — I specialize in the hard parts every serious product shares: scale, trust, compliance, and shipping AI that actually works. Across wealth, payments, AI, consumer and enterprise software, edtech and legal tech, I've already built the thing, in production, under real constraints. Find the proof nearest your sector.

01 — Wealth & capital markets

RIA, brokerage, custody & private funds

AltruistFounding CTO · Emp #3
EquiFractional CTO

Public markets: I built a custodial and brokerage platform for independent RIAs from an empty repository — digital account opening, funding, trading, clearing on Apex and DriveWealth, rebalancing, fractional shares and reporting. I built the rails, not an integration on top of someone else's. Private markets: technology leadership at a private-placement firm investing into private funds, where the hard problems are investor reporting, risk visibility and operational control.

Altruist is now a $1.9B company. Took it through its SOC 1 audit. Cut operating cost 50% at Equi in under two months.

RIA & brokerageApex · DriveWealthCustodyPrivate fundsInvestor reportingSOC 1
02 — Payments, lending & risk

Money movement inside real regulatory constraints

MonedoCTO → CISO
Afton TicketsFractional CTO
NuCashFounder

Consumer lending, payment orchestration and fraud — built inside the rules rather than around them. I've owned security architecture for a lending platform in India, contained fraud at a ticketing platform with throttling and detection plans that saved real money, and founded a fintech super app spanning banking, lending and investment.

PCI DSS + SOC 2 live at Afton. Security posture owned as CISO at Monedo. NuCash taken to revenue positive.

Consumer lendingPayment orchestrationFraud & riskPCI DSSGDPRLedger design
03 — AI systems in production

AI that stays correct, stays affordable, and fails loudly

Hey EmmyFounding fractional CTO
libb.aiGo-to-market advisor
StckdAppAI-first build

Not demos — production systems. An AI-native memory backend that captures, tags and retrieves so an assistant can proactively surface what matters; an AI-first rebuild that turned a non-functional app into a feature-complete product; and AI adoption across an engineering org to speed up development, debugging, monitoring and alerting. The hard engineering is trust: extraction that doesn't mislabel, retrieval that scales, agents that fail loudly.

Memory + proactive surfacing shipped at Hey Emmy. AI-driven engineering rolled out across Afton's org.

LLM & agentic appsAgent memoryVector search & RAGModel routing & costEvalsAI-first development
04 — Consumer & enterprise software

Products that scale on both sides of the buyer

Afton TicketsFractional CTO
Rocket LawyerCTO
CheggFounding eng → VP

From a consumer-and-enterprise ticketing platform running $100M+ in annual sales, to a 100+ person product and engineering organization, to a consumer education platform through its IPO — I've built and scaled software where the same system has to delight a consumer and satisfy an enterprise buyer at once.

Monolith → modular at Afton with 40% better burn efficiency. Full development-team management across consumer and enterprise surfaces.

ConsumerEnterprisePlatform architectureMonolith decompositionScale
05 — Edtech

Content delivery & digital publishing, from founding to IPO

CheggFounding eng → VP Eng

The sixth employee at Chegg, I scaled with the company from Series A through its IPO and beyond — to 800+ people — running a 100+ engineering org across four countries and rebuilding a Drupal monolith into a service architecture. The digital reading and content-delivery work produced six US patents; and along the way I supported technical due diligence on 7+ acquisitions.

Series A → IPO → 800+ people. 100+ engineers across four countries. Technical due diligence on 7+ acquisitions.

EdtechContent deliveryDigital publishingService architecture6 US patentsM&A due diligence
06 — Legal tech

Consumer & SMB legal, with compliance delivered end to end

Rocket LawyerCTO

As CTO at Rocket Lawyer I ran technology, product and program management for a 100+ person organization serving consumers and small businesses, delivered GDPR compliance end to end, and refocused the roadmap on the product lines that actually drove revenue.

GDPR delivered end to end. 100+ person org across technology, product and program management.

Legal techConsumer & SMBGDPRProgram management
Don't see your industry?

The pattern transfers.

The hard parts — scaling a team, earning trust, surviving compliance, and shipping AI that works — look the same whether you sell to RIAs, patients, students or small businesses. If your problem rhymes with any of these, we should talk.