Hossam Aboud - Flutter Developer

Overview

Cross-platform Flutter developer (middle-level) with practical strengths in building consumer mobile apps and automating release pipelines. The strongest proven skill is mobile release engineering and CI/CD automation, evidenced by the flutter_cicd_wizard CLI and its Fastlane and GitHub Actions generator files. There is limited evidence of measured performance tuning, robust offline sync, advanced lifecycle edge-case handling or formal test coverage.

Phone

Timeline

Flutter Developer & Backend Engineer · Middle

Medlet · Full-Time

Jan 2024 to Jan 2026 2 Years Partially remote

Developed and maintained a medical education mobile app used by universities and end users. Integrated REST APIs and Firebase services to improve module data synchronization. Built CI/CD pipelines using Fastlane and GitHub Actions, reducing release cycle time, and applied Clean Architecture with MVVM and BLoC/Cubit to improve maintainability and quality.

Flutter

Dart

Firebase

Rest API

CI/CD

Fastlane

GitHub Actions

Clean Architecture

MVVM

State Management

Agile

Scrum

Flutter Developer (Part-time) · Middle

Tekno Class · Part-Time

Jan 2021 to Jan 2023 2 Years Partially remote

Developed Flutter mobile applications following Agile/Scrum practices. Integrated third-party APIs and Firebase services to add app functionality. Contributed to UI/UX improvements aimed at increasing engagement and session duration.

Flutter

Dart

Firebase

Agile

Scrum

Flutter Developer & Backend Engineer · Middle

Mnjz · Full-Time

Jan 2021 to Jan 2023 2 Years Partially remote

Built and shipped cross-platform mobile apps with Flutter for thousands of users. Developed backend services with Node.js and Express and improved API response times through REST API work. Integrated Firebase (Firestore, Auth, Storage) and MySQL for scalable data handling and collaborated in Agile/Scrum to deliver production-ready features.

Flutter

Dart

Rest API

Node JS

Express

Firebase

Firestore

MySQL

Agile

Scrum

Flutter Developer · Middle

HEXA · Full-Time

Jan 2020 to Jan 2021 1 Year In office

Developed Android and iOS mobile apps using Flutter with a focus on consistent cross-platform performance. Integrated REST APIs and Firebase to support real-time app features. Refactored parts of a legacy codebase to reduce crash rate and improve overall stability.

Flutter

Dart

Rest API

Firebase

Projects

World Plastics

Created a QR-based loyalty and rewards app for field technicians to scan products, earn points, and redeem rewards for cash. Implemented the QR scanning and rewards workflow for on-the-go use. Developed the app using Flutter and Firebase.

Switcher

Built a peer-to-peer product exchange marketplace app with in-app chat, ratings, and a trust system. Implemented user interaction features that support buying, trading, and reputation tracking. Developed the app using Flutter and Firebase for supporting services.

96gym

Developed a fitness iOS application that includes certified trainer programs, nutrition plans, and personalized coaching experiences. Implemented mobile functionality to support ongoing user engagement with structured content. Built using Flutter with iOS-targeted app delivery.

Shams Medical Services

Created a healthcare super-app with features for doctor booking and pharmacy delivery, along with lab test request and clinic selection flows. Designed the app to connect mobile UI with backend capabilities via Firebase services. Developed the solution using Flutter.

OfflineSMS

Built a bulk SMS mobile app that enables alerting and marketing messages even when the recipient has no internet connectivity. Implemented multi-country support (KSA, UAE, Palestine, Israel, Kuwait) and mobile-side message delivery workflows. Developed the app using Flutter.

Technical skills

Languages

8

Dart

Node JS

Python

JavaScript

Java

Kotlin

Swift

Objective-C

Dart

3

Bloc

Get_it

Dio

Mobile

6

Firebase

Flutter

Fastlane

MVVM

State Management

Clean Architecture

DevOps

3

Rest API

GitHub Actions

CI/CD

Other

17

Express

MySQL

Firestore

LLM

Anthropic

Freezed

GitHub

SQLite

Json_serializable

Git

AI Agents

CI/CD

Prompt Engineering

Frontend

Dependency Injection

Repository Pattern

Material Design

Middle AI/ML Engineer Confidence: High Generalist

A developer focused on building prompt-engineering and CLI tooling for LLM-based coding agents at a middle level with a strong practical focus on shipping usable command-line tools. The strongest proven skill is building a compact, well-structured Python CLI that calls the Anthropic API and formats/saves agent-specific prompt outputs, demonstrated by agent_kit/generator.py and agent_kit/cli.py. There is little or no evidence of model training, experiment tracking, production model serving, or automated test coverage in public code.

Model Architecture & Training

1/10

How well models are designed and trained

No model training or custom architectures; code contains a structured system prompt and LLM API usage with basic error handling and JSON parsing.

Evidence

promptforge-kit/agent_kit/generator.py: SYSTEM_PROMPT string and anthropic.messages.create call

promptforge-kit/agent_kit/generator.py: json.loads(result_text) with regex fallback for extracting JSON

Data Pipeline & Feature Engineering

1/10

How data is prepared for models

Minimal data handling focused on reading an input idea and emitting generated prompt files; simple file writes but no dataset pipelines or augmentation.

Evidence

promptforge-kit/agent_kit/generator.py: user_message construction from idea and target_agents

promptforge-kit/agent_kit/generator.py:_display_results writes config, first_message.md and tips.md when output_dir is provided

Experimentation & Evaluation

How results are measured and tested

Not evidenced in public code

MLOps & Deployment

1/10

How models are shipped to production

Basic packaging and CLI distribution are in place but there is no model serving, versioning, or production MLOps pipeline.

Evidence

promptforge-kit/setup.py: entry_points console_scripts=agent-kit=agent_kit.cli:main

promptforge-kit/pyproject.toml: project.scripts and anthropic dependency

Computational Efficiency

How efficiently computing resources are used

Not evidenced in public code

Research Depth & Innovation

Depth of research and new ideas

Not evidenced in public code

Expertise

LLM· Middle

AI / LLM Engineering (Agents)· Middle

Industries

Artificial Intelligence· Middle

Software· Middle

Technologies

Python· Middle

MySQL· since 2021

Firestore· since 2021

Prompt Engineering

AI Agents

CI/CD· since 2024

Git

SQLite

LLM

Anthropic

GitHub

Recommendations

Add unit tests and CI for the CLI and output formatting to raise confidence and enable safe refactors.
Implement streaming response support and retry/backoff for LLM calls to make the tool robust for larger models and rate limits.
Wire the no-color option through the display utilities and add error handling around file writes (permissions, disk full) to harden production usage.
Add basic experiment tracking or output diffs when generating prompts (timestamped outputs, and optional logging to W&B/MLflow) if evolving prompt templates.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

hossam-aboud promptforge-kit

Middle Frontend Developer Confidence: High UI Engineer

UI-focused frontend developer at a mid level specializing in polished, responsive, and accessible single-page portfolio interfaces. Strong front-end craftsmanship is proven by the detailed public index file (hossam-aboud.github.io/public/index.html) which implements lazy-loaded images, IntersectionObserver reveals, a requestAnimationFrame cursor trail, and an accessible contact form with client-side validation and robust submit handling. There is no evidence of large-scale SPA architecture, component library engineering, automated tests, or backend/API implementations beyond a third-party form submit integration.

UI Component Architecture

3/10

How interface parts are built

Component structure is single-page HTML with well-named CSS classes and reusable markup patterns, but no formal component system or custom component library.

Evidence

hossam-aboud.github.io/public/index.html: repeated component-like blocks (article.project-card) and utility classes (skill-card, project-body) used as modular pieces

hossam-aboud.github.io/public/index.html: nav and section semantic structure used consistently across the page

Responsive & Cross-browser

6/10

Works on all screens and browsers

Responsive layout and modern CSS techniques are present (clamp, grid, media queries, fluid typography) and there is explicit mobile behavior handling.

Evidence

hossam-aboud.github.io/public/index.html: CSS uses clamp() for hero font-size and grid-template-columns with auto-fit for projects-grid

hossam-aboud.github.io/public/index.html: @media(max-width:768px) rules that change layout and force reveal sections visible on mobile

Performance Optimization

6/10

Speed of the interface

Several practical performance measures are implemented (lazy-loading images, decoding async, requestAnimationFrame animation loop, IntersectionObserver, passive scroll listener).

Evidence

hossam-aboud.github.io/public/index.html: <img ... loading="lazy" decoding="async"> on project and about images

hossam-aboud.github.io/public/index.html: animTrail uses requestAnimationFrame and IntersectionObserver is used for reveal; scroll listener registered with {passive:true}

Accessibility & Semantics

6/10

Usable for everyone

Good basic accessibility practices: form labels, aria-live region for status messages, role=status, alt attributes and aria-hidden on decorative icons; focus management on first invalid field is implemented.

Evidence

hossam-aboud.github.io/public/index.html: contact form uses <label> for inputs, role="status" aria-live="polite" on formBanner and alt text on images

hossam-aboud.github.io/public/index.html: form validation focuses first invalid input and uses aria-live for field error spans

State Management & Data Flow

4/10

Managing data in the app

Client-side state is small but deliberate: local form state object, validation, async submit with try/catch, UI disabled states and loading indicator; no advanced request cancellation or cache/invalidation strategies.

Evidence

hossam-aboud.github.io/public/index.html: contact form JS builds a fields object and implements validate(), async fetch to FormSubmit with try/catch, disabling/enabling inputs and button

hossam-aboud.github.io/public/index.html: setFieldError and focus-first-error logic in submit handler

UX & Visual Polish

7/10

Look and feel quality

High visual polish and UX attention: animated gradients, typed-role animation, cursor/trail interaction, reveal animations, form banners and loading states provide a refined UX.

Evidence

hossam-aboud.github.io/public/index.html: hero animations, gradShift, typed role and cursor/trail interactions implemented in script and CSS

hossam-aboud.github.io/public/index.html: form-banner success/error states, btn-primary.is-loading and focused error UX

Expertise

Web Performance & Optimization· Middle

Frontend Architecture & Build Tools· Middle

Industries

Education· Middle

Health Care· Middle

Technologies

Frontend

CI/CD

GitHub Actions· since 2024

Recommendations

Build componentized versions of the UI (web components or a small component library) to demonstrate reusable architecture and facilitate reuse across projects.
Perform and document a performance audit (Lighthouse) and add measurable before/after optimizations and bundle analysis artifacts.
Add automated tests and CI checks for accessibility and linting, and move form handling to a small API or serverless function with tests to show end-to-end integration.
Refactor interactive logic (cursor, reveal, form) into modular JS modules or a lightweight framework to show SPA-level state management and routing.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

hossam-aboud hossam-aboud.github.io

Middle Mobile Developer Confidence: Medium Cross-platform

Cross-platform Flutter developer (middle-level) with practical strengths in building consumer mobile apps and automating release pipelines. The strongest proven skill is mobile release engineering and CI/CD automation, evidenced by the flutter_cicd_wizard CLI and its Fastlane and GitHub Actions generator files. There is limited evidence of measured performance tuning, robust offline sync, advanced lifecycle edge-case handling or formal test coverage.

Platform Native Mastery

2/10

Knowing the mobile platform

Basic Flutter lifecycle and state usage is present (StatefulWidgets, Cubit) and flavor entrypoints are scaffolded, but there is no evidence of advanced lifecycle handling (process-death restore, structured concurrency tied to UI) or deep platform-native lifecycle correctness.

Evidence

advance_flutter_project/lib/features/login/ui/widgets/email_and_password.dart: Stateful widget with controller lifecycle and dispose

flutter-cicd-flavors-wizard/lib/generators/flavors_generator.dart: generates main_dev/main_staging/main_prod entrypoints and FlavorConfig

advance_flutter_project/lib/features/login/logic/cubit/login_cubit.dart: Cubit-based state management (cubit file present)

Mobile UI/UX & Responsiveness

3/10

Smooth mobile experience

Multiple custom UIs and theming exist and screen-scaling package is declared, but adaptive layouts, accessibility (dynamic type) and multi-form-factor strategies are not clearly implemented or measured.

Evidence

advance_flutter_project/pubspec.yaml: includes flutter_screenutil dependency

advance_flutter_project/lib/homepage/homepage.dart: custom home UI with many adaptive-like containers and ListViews

advance_flutter_project/lib/features/onboarding/ui/onboarding_screen.dart: onboarding and UI components scaffolding

Performance & Battery

1/10

Speed and battery use

Little to no evidence of measured performance or battery tuning; CI caching and release build flags are used but device-level performance profiling or battery-aware work is absent.

Evidence

flutter-cicd-flavors-wizard/lib/generators/github_actions_generator.dart: uses subosito/flutter-action@v2 with cache: true in CI

flutter-cicd-flavors-wizard/lib/generators/fastlane_generator.dart: fastlane lanes use --release builds and build flags

Offline & Data Sync

2/10

Working offline and syncing

App uses Firestore streams and basic remote data flows but lacks a local-first sync engine, migration history, conflict resolution or queued idempotent retry logic.

Evidence

app_store_application/lib/iconpage/food_sleep.dart: uses StreamBuilder with Firestore queries

advance_flutter_project/pubspec.yaml: contains firebase_core and shared_preferences dependencies indicating remote and local storage usage

Device Integration

4/10

Using device features

Multiple device integrations (Firebase Auth/Firestore, image/video, FLAG_SECURE to block screenshots) are present, but full permission flows with rationale/denial handling and robust edge-case handling are limited.

Evidence

app_store_application/pubspec.yaml: includes firebase_auth, image_picker, firebase_storage, flutter_vlc_player

app_store_application/lib/iconpage/camera_management.dart: uses flutter_windowmanager to set FLAG_SECURE and interacts with Firestore to drive camera UI

app_store_application/lib/camera_page/*: multiple camera UI pages (camera1..camera16) indicating camera integration

Release & App Lifecycle

6/10

Building and publishing apps

Clear release engineering focus: a CLI scaffolder generates flavors, Fastlane lanes, GitHub Actions workflows, secrets templates and guidance for signing and distribution indicating solid familiarity with mobile release pipelines.

Evidence

flutter-cicd-flavors-wizard/lib/generators/fastlane_generator.dart: generates Android and iOS Fastfile lanes (build, distribute, deploy_play_store, deploy_testflight)

flutter-cicd-flavors-wizard/lib/generators/github_actions_generator.dart: generates PR checks and flavor-specific deploy workflows

flutter-cicd-flavors-wizard/lib/wizard.dart: interactive CLI orchestrating flavors/fastlane/github actions/firebase generation and .env.secret.template

Expertise

Flutter· Middle

Industries

Education· Middle

Technologies

JavaScript

Java

Kotlin

Dart· since 2020 · Senior

Node JS· since 2021 · Middle

Swift

Objective-C

Express· since 2021

MVVM· since 2024

Flutter· since 2020

Firebase· since 2020

Clean Architecture· since 2024

Fastlane· since 2024

Bloc

Dio

Freezed

Json_serializable

Get_it

Repository Pattern

Dependency Injection

State Management· since 2024

Material Design

Recommendations

Implement small-to-medium cross-platform Flutter apps with Firebase backend and standard state management (Bloc/Cubit) where CI/CD and flavoring are required.
Build CI/CD pipelines and release automation (Fastlane, GitHub Actions) or migrate existing apps to a flavors + automated release workflow.
Develop consumer-facing apps that integrate Firebase (Auth, Firestore, Storage) and device features (camera, media) where quick iteration and release are priorities.

Repositories

The developer's experience in this domain has been verified based on AI analysis of the following repositories:

flutter-cicd-flavors-wizard advance_flutter_project app_store_application

Job preferences

Work permits: Palestine