Dev Seth

chief ai architect · private models · production ai

7 years building AIthat enterprises actually trust.

I build private, specialised models and the production systems around them for global clients in defence, government, healthcare, retail and real estate. From structuring the data to deploying inside the client's own infrastructure.

7

industries

4

regions, with clients across the US, UK, Middle East and India

20+

production systems deployed

1M+

users served

work featured in

selected work

Four systems, four very different stakes.

DefenceIn production

Sovereign AI for a national defence programme

Private, air-gapped AI that connects intelligence from across the globe and predicts whether critical assets are ready for a mission.

Air-gappedno data leaves controlled infrastructure

Sovereignmodels trained and served in-house

controlled infrastructureGlobal sourcesIngestionCorrelation modelIntelligencesurfaceAsset dataReadiness modelMission readiness
Read the case study →
Pharma & healthcareLive

Getting life-critical medicine to patients in time

An end-to-end platform for a UK manufacturer of late-stage cancer injections with a three-day half-life, planning, tracking and flagging risk from production to patient.

30%fewer delivery failures

3-dayhalf-life on every dose

Risk modelAlertsProductionHalf-life-awareplanningShipmentPatient
Read the case study →
GovernmentIn production

Round-the-clock citizen service, with intelligence on every conversation

A bilingual voice AI assistant for a government entity in the Middle East that answers citizens 24/7 and shows leadership what people are actually calling about.

24/7service, up from 12 hours a day

200+enquiries handled every day

Citizen callSpeech recognition(AR/EN)Voice agentResponseConversationintelligenceManagementassistant
Read the case study →
RetailIn production

Predicting stock-outs before they happen

An AI agent for a UK retailer with 22+ stores and 5 warehouses that predicts stock-outs from events and demand signals, and recommends what to move where.

$65Ksaved every month

22+ storesand 5 warehouses

Stores (22+)Warehouses (5)Central datapipelineEvent-awareforecastingStock-outpredictionRecommendations:what to move where
Read the case study →

More work

  • Sasha & SelinaProduction AI sales and property agents, scaled past $50K MRR.Real estate
  • Pharma master data managementAutomated entity resolution and golden records across 5 to 7 datasets.Pharma
  • Intelligence CRMEnd-to-end CRM intelligence platform on a full Azure AI stack.Consulting

models

Models I've built, not just prompted.

When an API model isn't good enough, private enough or cheap enough, I build one that is.

fine-tuned

Playwright test-generation model

A small model fine-tuned to write Playwright browser tests.

More accurate at test generation than frontier models in my benchmarks.

on-device

On-device document model

Processes documents on a phone, with nothing sent to the cloud.

Private by design: the document never leaves the device.

specialised

Decision intelligence engine

A purpose-built model for fast, consistent decisions inside a workflow.

Built for decisions that can't wait on a general-purpose model.

air-gapped

Intelligence correlation model

A specialised model that connects the dots across global information.

Runs entirely inside controlled infrastructure.

See it in production →
forecasting

US home price forecast model

Predicted home price growth across 100 major US markets at 87% accuracy.

Called a 4% rise for 2023 when most expected a fall. Named the most accurate forecast of the year.

See how I build them →

industries

Seven industries. Clients across four regions.

◆→DefenceSovereign, air-gapped AI for a national defence programme.◈→GovernmentBilingual voice AI and conversation intelligence for citizen services.◇→Pharma & healthcareLife-critical medicine tracking and pharma master data management.◫→RetailStock-out prediction and automated replenishment across 22+ stores.
◆Real estateAI sales and property agents across 33,000+ US neighborhoods, and the most accurate US home price forecast of 2023.
◈Food & QSREnterprise AI projects for a global food brand.
◇ConsultingAn intelligence CRM on a full Azure AI stack for a global consulting firm.

US · UK & Europe · Middle East · India

experience

Where I've done it.

  1. Nov 2025 to present

    Practice Head, Data Science & AI

    2SD Technologies

    Lead enterprise AI delivery for global clients, including sovereign AI for a national defence programme and life-critical medicine tracking. Built the internal learning and training framework now used across all technical teams.

  2. Feb 2025 to Nov 2025

    Founding Engineer & Head of AI

    100x

    Built the AI sales and real estate agents Sasha and Selina, and took the product past $50K in monthly recurring revenue. A structured loop of A/B testing, fine-tuning and retrieval tuning lifted qualified lead conversion by 25%.

  3. Jan 2021 to Jan 2025

    Head of AI, and earlier Analytics & AI Manager and Senior Data Scientist

    Home.LLC

    Built Sophie, an AI agent working across phone, SMS and email, and raised lead qualification accuracy by 20%. Earlier, built the model behind the most accurate US home price forecast of 2023.

education

Training and credentials.

B.Sc. Economics (Honors)

Symbiosis School of Economics, Pune

Thesis: Automation, AI and its Impact on the Future of Work

publication

E-Commerce Adoption by Service MSMEs

Recognised at the 3rd National Conference on Sustainable Agricultural Development for Food Security and Nutrition

certifications

  • Applied StatisticsGoogle

off the resume

Things that don't fit in a bullet point.

Uber kept surging near my college, so I started saving drivers' numbers after every ride. Eventually I had a WhatsApp group of 40-something drivers, plus my friends. Need a ride? Text the group. No surge, no app fee, and drivers liked it because they got a guaranteed ride when free.

Built the forecasting model behind Home.LLC's call on US home prices for 2023. It predicted a 4% rise when most forecasters expected prices to fall, and ResiClub named it the most accurate forecast of the year. Covered by Fortune and ResiClub.

Head of AI twice, and currently leading enterprise and sovereign AI work at 2SD Technologies. Before that, built a CRM intelligence platform end to end for one of the world's largest consulting firms, and ran major AI projects for global brands in food, pharma and real estate. All under client NDAs.

Work featured in Fortune, Forbes, Bloomberg and The Wall Street Journal. Published "E-Commerce Adoption by Service MSMEs," recognised at the 3rd National Conference on Sustainable Agricultural Development for Food Security and Nutrition. Gold medal two years running, and again as top performer at my current organisation.

Open to partnerships and select projects.

If you're building something where AI has to work in production, or has to stay private, I'd like to hear about it.