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Goutham Gorthi

Available to hire

I’m Goutham Gorthi, a Mobile App Developer and Full Stack Developer based in Dundee, Scotland.

About

I’m Goutham Gorthi, a Mobile App Developer and Full Stack Developer based in Dundee, Scotland. I specialize in cross-platform mobile development using React Native and Expo, and I enjoy building production-ready apps end-to-end—from designing user flows and implementing screens to integrating secure REST APIs and third-party services.

Right now I’m the sole developer building a customer-facing laundry services platform for a commercial client, including OTP authentication, an order wizard, Razorpay (UPI) payments, loyalty points, push notifications via Firebase FCM, and WhatsApp messaging. I also build reliable backend integrations with Node.js/TypeScript and PostgreSQL, and I’m preparing iOS and Android builds ahead of launch while maintaining clean, testable, and maintainable code.

  • 1 year's experience
  • Joined September 2026

Languages

  • EnglishAdvanced

Industry experience

  • Software & Internet
  • Education
  • Financial Services
  • Professional Services

Work experience

Mobile & Full Stack Developer · Self-Employed (Freelance)Jan 2026 – Present · 11 mos

Sole developer (remote, UK) building a production-grade laundry services platform for a commercial client, delivering interconnected applications including a cross-platform React Native customer app. Implemented OTP authentication, a 6-step order wizard, Razorpay (UPI) payments with webhook handling, and a loyalty points system. Integrated REST APIs and third-party services including Firebase FCM push notifications and WhatsApp Business API for automated order notifications. Built and integrated an async notification pipeline using BullMQ and Redis so notifications process independently of API requests. Developed a Next.js admin dashboard for order management and prepared iOS/Android builds using Expo EAS, working closely with the client to translate specifications into a user-friendly mobile experience.

AI Data Annotator Associate · IntellabelSep 2023 – Aug 2024 · 1 yr

Labeled large-scale image, text, and audio datasets across multiple concurrent ML training pipelines while maintaining quality and accuracy (>98%) through structured QA processes across preprocessing, review, and evaluation. Collaborated remotely with ML engineers to identify systematic labeling errors early, reducing rework and improving downstream model quality.

Education

MSc Computer Science · University of Dundee2024 – 2025
BEng Electrical, Electronics & Communications Engineering · Presidency University2019 – 2023

Certifications and awards

N8N Automation Quickstart2026

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