I'm a Chief Technology Officer and hands-on architect leading a 30-person engineering organization. I specialize in Generative and voice AI — LLM-powered agents, RAG, real-time voice, and on-device inference — and have delivered 40+ products across healthcare, SaaS, fintech, mobile, and cloud, from technology strategy to scalable deployment.
I lead technology while staying hands-on — architecting and building the hardest parts across AI, web, and mobile.
I lead a 30-person multidisciplinary engineering organization — AI, backend, frontend, mobile, DevOps, QA, and design — while staying deeply hands-on, architecting systems and building the hardest components myself. Over 6+ years I've delivered 40+ commercial products across healthcare, SaaS, fintech, mobile, and cloud.
My specialty today is Generative and voice AI: autonomous, self-learning agents across messaging channels; voice-to-voice platforms with sub-second latency (LiveKit, Deepgram, ElevenLabs); retrieval-augmented generation over private knowledge bases; and fully on-device assistants running local LLMs, STT, and neural TTS. I also wire AI into telephony via SIP for inbound and outbound automated calling.
I work across React, Next.js, React Native, native Android & iOS, .NET, Python/FastAPI, and Node — and deploy to AWS, DigitalOcean, Railway, Netlify, and Vercel. Early, fluent adopter of AI-assisted engineering (Cursor, Claude).
Lead a 30-person multidisciplinary team — AI, backend, frontend, mobile, DevOps, QA, design — owning strategy, hiring, mentoring, and delivery.
Generative & agentic AI, RAG, real-time voice-to-voice, on-device LLMs, SIP call automation, chatbots & voice bots.
React / Next.js / Vite frontends and Node, NestJS & Python/FastAPI backends — scalable APIs, real-time, data.
React Native (Expo & bare), native Android (Kotlin/Java) and iOS (Swift), on-device ML, plus desktop, IoT & games.
I turn frontier AI into reliable products: agents, RAG, and real-time voice, shipped on cloud-native infrastructure that scales.
Deep specialization in Generative & voice AI, backed by full-stack, cross-platform, and cloud-native engineering — the end-to-end range to ship enterprise products.
From a single AI feature to an end-to-end product or a fractional technical-leadership engagement.
LLM apps, RAG pipelines, and agentic systems taken from prototype to production — with evals, guardrails, and scale in mind.
Real-time voice assistants, SIP call automation, and multi-agent workflows on LiveKit, Deepgram, and ElevenLabs.
End-to-end web (React / Next.js) and cross-platform mobile (React Native, native) on cloud-native infrastructure.
Architecture, AI-adoption strategy, and hands-on guidance for teams shipping AI-first products.
Clarify the problem, constraints, and success metrics — and validate the AI/product fit fast.
Design scalable, secure systems across data, models, infrastructure, and the integration surface.
Ship in tight iterations with evals, tests, and real user feedback baked in from day one.
Deploy to the cloud, monitor, and harden for production load, latency, and cost.
I don't just prototype AI — I ship it to production, wired into real products, real users, and real infrastructure.
Strategy and code in the same pair of hands. That's how ideas become things people actually use.
A slice across AI, healthcare, web, mobile, IoT, and games. Public repos are linked; private client work is shown as case studies.
AI-first hospital management platform
Enterprise, multi-tenant healthcare operations platform: 82 API modules, 14 AI engines, 60+ frontend modules, FHIR R4 + HL7v2 interoperability, HIPAA-aware design, i18n, and a native mobile app.
Fully on-device AI receptionist
Android assistant running entirely on-device — local LLM (llama.rn/Qwen3), local STT (whisper.rn), neural TTS with phoneme timestamps, a lip-synced 3D avatar, and wake-word detection. No cloud AI, no paid APIs.
Autonomous self-learning agent
Open-source AI assistant that plans multi-step tasks, executes them with 13 built-in tools, browses the web, generates documents, and teaches itself new skills — across 7 messaging channels and 5 LLM providers.
Voice-to-voice with dynamic agent routing
Scalable platform where users speak to dynamically routed AI agents in natural speech, backed by RAG. Full Docker stack: admin panel, user app, API, vector DB, and a real-time voice server.
TalentFlow — AI HR with voice interviews
AI-powered HR platform that automates candidate processing, conducts real-time voice interviews via LiveKit, and delivers hiring insights. Self-hostable with local models.
E-commerce + inventory platform
Full commerce suite — storefront, e-commerce app, admin, super-admin, and backend server — with inventory management.
Live-streaming app
Live-streaming product spanning a native mobile app, web client, and admin dashboard.
Tuya IoT integration
Smart-thermostat control built on the Tuya IoT platform — device pairing, scheduling, and real-time state.
AI ad-creatives, voice & growth
AI marketing system: automated ad-creative generation, a real-time LiveKit voice agent (Deepgram STT + multi-provider TTS), and AI-native growth/campaign tooling.
Feeder Distribution Radial Analysis
Power-distribution engineering web app for WAPDA HT/LT feeders — manage feeder projects, model the network, and run radial load-flow analysis with interactive distribution visualizations.
Maps-first weather app
Cross-platform weather app — live forecasts, interactive radar, and map-based conditions with a polished glass UI; Expo + MapLibre + Skia front end on a FastAPI provider-adapter backend (Open-Meteo / ECMWF / RainViewer).
AI solar energy platform
Solar energy monitoring & automation across mobile, web, and an Express/Prisma backend — live energy data, device control, charts, automation rules, and push, with a shared API and an Android home-screen widget.
2D/3D floor-plan designer
Browser-based home/floor-plan designer — draw plans on a 2D canvas (Konva), walk them in real-time 3D (Three.js / react-three-fiber), with offline persistence and one-click PDF export.
"Umair turned a vague AI concept into a production system in weeks. A rare blend of product sense and deep, hands-on engineering."
"He owns the hardest problems end-to-end — architecture, AI, and delivery — and makes the whole team faster around him."
"Our voice AI shipped on time and exceeded the latency targets. Umair is the engineer you want on an ambitious build."
Progressively senior roles, culminating in technology leadership — while never leaving the codebase.
Quick answers about Umair Arshad — AI engineering, leadership, projects, and how to work together.
Have an AI product, a full-stack build, or a tricky integration in mind? I'm open to select projects and advisory. Fastest way to reach me is email.
Email me