Naveed Sarwar

Healthcare AI Engineering Leader & Founder

LinkedIn Profile

Naveed Sarwar is the founder of Techloset, a US-based AI and software engineering company. Since 2018, he has led a 50+ engineer team delivering Generative AI, Agentic AI, LLMs, RAG pipelines, mobile apps, and SaaS platforms for US startups. He holds a Stanford AI Professional Program certification and an MS in Computer Science. He has mentored 15,000+ students across PIAIC and Saylani, and runs a YouTube channel on AI with 11k+ subscribers.

Areas of Expertise

  • Healthcare AI Engineering
  • Generative AI
  • Agentic AI Systems
  • Large Language Models (LLMs)
  • SaaS Product Development
  • Mobile App Development

Articles by Naveed Sarwar

Tech Tools and Frameworks

What Is SDLC? Complete Guide to Software Dev Life Cycle

Only 31% of software projects fully succeed. This guide breaks down every SDLC phase, compares 7 models, and helps you pick the right one for your team in 2026.

AI and Machine Learning

AI Medical Triage: Sorting Urgency at the Digital Front Door

AI triage sorts patients by urgency before your front desk picks up. The flow, the safety architecture that makes it defensible, and what to leave out.

AI and Machine Learning

AI X-ray Analysis: How It Works and Where It Stops

AI X-ray analysis flags abnormalities in seconds. The pipeline stage by stage, the four limits every buyer should know, and where a human stays in charge.

AI and Machine Learning

AI Voice Bot for Appointment Booking: Every Call Answered

An AI voice bot answers on the second ring, books into your real calendar, and hands off the moment a call stops being about booking. What makes that work.

Healthcare AI

Top LLMs for Healthcare Startups in 2026: Complete Guide

Healthcare AI spending hit $1.4B in 2025. Compare GPT-4o, Claude, Gemini, and Llama 3.2 for HIPAA compliance, medical accuracy, and cost before you build.

AI and Machine Learning

Voice to Text Job Reports: End the Paperwork Backlog

Technicians hate typing, so job reports arrive late or never. How a 30-second voice note becomes a structured, invoice-ready report — and where it breaks.