Open to opportunities

Ali Karimi

@alikarimi1

Flutter mobile engineer and mobile lead building secure, privacy-conscious digital health apps with 4+ years shipping iOS/Android.

Kuwait

Message

What I'm looking for

I’m looking for a team building digital health/SaMD-ready mobile products where I can own secure Flutter architecture, CI/CD-driven release discipline, and privacy-by-design integrations—while contributing modern AI/LLM features and shipping with high UX quality.

I’m a Flutter mobile engineer and mobile lead with 4+ years of commercial experience delivering production iOS and Android apps. I’m especially strong for digital health and SaMD-ready teams, translating validated workflows and UX into responsive, accessibility-aware Flutter experiences.

As Co-Founder and Mobile Lead, I led architecture and delivery for three production Flutter apps and helped grow a mobile team from scratch. I owned Clean Architecture, state management patterns (Bloc/Cubit), networking, JWT authentication, secure token storage, biometric authentication, and certificate pinning—then backed those decisions with CI/CD, code review standards, and disciplined release processes.

I also work at the intersection of product and security: integrating secure backend services, implementing release traceability and testable architectures, and shipping privacy/security-by-design solutions. Alongside core mobile delivery, I’ve integrated LLM/NLP models for automated scoring and feedback, and partnered cross-functionally to optimize performance, reliability, and international user experience.

Experience

Work history, roles, and key accomplishments

Current

Flutter Developer

Current

TechGrowth

Sep 2024 - Present (1 year 10 months)

Delivered cross-platform Flutter applications for Expoz, MYKG, BaqerKnowledge, PointStore, and YAL using Riverpod and GraphQL/REST integrations. Translated UI/UX requirements into production code and collaborated with designers, backend engineers, and QA in Agile delivery cycles.

Flutter Dart GraphQL REST APIs Asynchronous Programming Agile iOS Android

Current

IRT Neural Question Generation

Current

Islamic Azad University

Sep 2023 - Present (2 years 10 months)

Fine-tunes Flan-T5 with LoRA to generate IELTS reading questions with controllable difficulty via Item Response Theory parameters. Built a pipeline over 2,600+ records, benchmarked against T5/BART/GPT-2, and evaluated with LLM-as-judge methods.

Machine Learning NLP Fine Tuning Flan T5 LoRAs Item Response Theory LLM As Judge Benchmarking Data Pipelines

Current

Co-Founder & Mobile Lead

Current

Langujet

Oct 2022 - Present (3 years 9 months)

Led architecture and delivery for three production Flutter apps (student, admin, corrector) on iOS and Android backed by Kotlin/Spring Boot services. Owned secure authentication patterns, CI/CD and release processes, and integrated payments, sign-in, deep linking, RTL support, and LLM/NLP-based scoring workflows.

Flutter Dart Clean Architecture BLoC Cubit Dio biometric authentication CI CD Code Review Stripe Firebase Google Sign In Deep Linking Accessibility LLM LLM As A Judge

Flutter & MAUI Developer

Rayankar Pishro

Feb 2023 - Aug 2024 (1 year 6 months)

Led the Ultratone MVP, migrating from Flutter to .NET MAUI and publishing the app to the App Store and Google Play. Built booking workflows and managed mobile releases within cross-functional Agile teams across Flutter and .NET MAUI.

Flutter .NET MAUI C#App Store Publishing Agile Cross Platform Development

Flutter Developer

Arnikaware

Jun 2021 - Jun 2022 (1 year)

Launched Martino (e-commerce) and Kava (news, education, marketplace) to production as mobile applications. Implemented deep linking, Google authentication, audio/video features, API testing, and performance tuning for production releases.

Flutter Deep Linking Google Authenticator API Testing Performance Tuning Audio Video Features

Education

Degrees, certifications, and relevant coursework

Islamic Azad University

Master of Science (Software Engineering), Software Engineering

2023 -

Pursuing an M.Sc. in Software Engineering. Research focuses on fine-tuning Flan-T5 with LoRA to generate IELTS reading questions with controllable difficulty using Item Response Theory parameters.