Subtain Ali

I'm Subtain Ali, a Full Stack Mobile Application Engineer with 4+ years of experience building and shipping high-quality cross-platform apps using React Native.

Currently I'm working at Techling.ai, where I've been part of some significant projects. One of them is CazVid, a video-based job marketplace that has crossed 200K+ downloads, where I built features like media capture, real-time chat, AI resume builder, and payment integrations. Another is Chex.ai, an AI-driven vehicle inspection platform that generates $70K–$100K in monthly revenue, where I integrated real-time damage detection APIs and worked on serverless AWS backend using Lambda, S3, and API Gateway.

On the technical side, I work heavily with React Native, TypeScript, Node.js, and cloud services like AWS. I've implemented CI/CD pipelines, managed app publishing on both Google Play and App Store, and maintained a 99.68% error-free session rate on Sentry with a crash rate as low as 0.80% on Google Play.

Beyond mobile, I have a strong interest in AI and LLM engineering, and I've been actively upskilling in that space — holding certifications in AI Agents, Prompt Engineering, and Generative AI from DeepLearning.ai and Vanderbilt University.

I'm someone who takes ownership end-to-end — from architecture and development to deployment and performance monitoring.

Full Stack Mobile Application Developer at Techling.ai (2022-11 – Present)

• Architected and scaled high-performance cross-platform mobile applications focused on video platforms and AI integration.
• Developed CazVid, a cross-platform video-based resume marketplace with media capture, video playback, and real-time chat features.
• Built Chex.ai, an AI-driven vehicle inspection platform integrating real-time damage detection APIs for accurate defect identification via smartphone photos.
• Maintained high app stability, achieving 99.68% Sentry error-free session rate and reducing crash rate to 0.80% on Google Play through proactive debugging and optimization.
• Implemented scalable architecture using TypeScript and established CI/CD pipelines to ensure streamlined deployments and code quality.
• Managed end-to-end app publishing on Google Play Console and Apple App Store, contributing to over 500,000+ downloads.
• Work on serverless backend using AWS Lambda, S3 and AWS API-Gateway to process vehicle inspection data.
• Contributed to the core Node.js backend services supporting the AI job matching algorithms and video upload pipelines.

Mobile App Engineer at Bridge Zone (2022-03 – 2022-11)

• Developed an AI-integrated mobile app for breast cancer detection that analyzes medical images and highlights affected areas.
• Built a ride-sharing app with Google Maps integration for real-time location tracking, route sharing, and nearby ride discovery.
• Implement the payment system using Stripe.
• Deploy the App on Google and App Store.

Bachelor's Degree in Information Technology – University of the Punjab (2018 – 2022)