About Umair Arshad
Chief Technology Officer & AI Engineering Leader
Faisalabad, Pakistan · 6+ years
Umair Arshad is a Chief Technology Officer and AI engineer based in Pakistan. He leads a 30-person engineering organization at TechloSet Solutions and builds production-grade AI — autonomous agents, retrieval-augmented generation (RAG), real-time voice platforms, and on-device LLMs.
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).
Career highlights
- Leads a 30-person multidisciplinary engineering organization (AI, backend, frontend, mobile, DevOps, QA, design).
- Delivered 40+ commercial software products across healthcare, AI, enterprise SaaS, fintech, automation, and mobile.
- Defined and executed company-wide AI strategy — Generative AI, agentic systems, and real-time voice platforms.
- Architected enterprise systems with 82 API modules, 14 AI engines, FHIR/HL7 interoperability, and sub-second AI voice latency.
- Hands-on CTO contributing directly to architecture, backend, frontend, cloud, DevOps, and AI development.
AI specialties
Selected AI projects
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.
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.
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.
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.
AI-powered HR platform that automates candidate processing, conducts real-time voice interviews via LiveKit, and delivers hiring insights. Self-hostable with local models.
Full commerce suite — storefront, e-commerce app, admin, super-admin, and backend server — with inventory management.