Mohamed A.Aleem

IOS Engineer

Egypt16 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

15+ years of mobile app development experience
Expert in iOS and React Native architectures
Proven track record in healthcare and education apps

Stackforce AI infers this person is a Mobile Solutions Architect with expertise in SaaS and EdTech industries.

Contact

Skills

Core Skills

Ios DevelopmentReact NativeData Engineering

Other Skills

FirebaseUI/UXSwiftUIiOSGoogle Cloud Platform (GCP)Machine LearningJavaScriptOOPDesign PatternsProgrammingSoftware DevelopmentUser Experience DesignUnit TestingRedux.jsC#

About

Mobile Solutions Architect | iOS & React Native | 15+ Years Building Apps from Idea to App Store Core Areas of Expertise The Composable Architecture (TCA) - 5+ years of hands-on experience on large SwiftUI apps with complex parent/child feature composition, reactive event streams, and non-trivial business logic. Mainly used TCA architecture when unidirectional data flow and functional state management were a natural fit for complex apps. Video Streaming (Live & Offline) - Led development of multiple large-scale video streaming apps, including live interactive streaming (likes, comments, session lifecycle) and offline/on-demand streaming with large uploads and timed annotations. Focused on building robust session management and feature layers around streaming, where most real-world complexity lies. Core Data & Local Persistence - Deep experience architecting iOS apps around Core Data as a persistence layer, including schema design, managing its context, caching strategies, and data-efficient UI patterns (e.g., pagination and incremental fetches). Recently adopted SwiftData where appropriate in modern SwiftUI codebases. On-Device ML - I started my career in Machine Learning and Data Engineering, working in this field for about 4 years, which gave me a strong foundation in applied ML. When I moved into iOS development, I carried this background with me. Since on-device ML became available on iOS in 2018, and later with LLMs and Apple Intelligence in iOS 26, I’ve been actively using these technologies in real apps. React Native - 7 years of experience in React Native, building and maintaining cross-platform apps with Redux-based architectures. Check out my portfolio at https://mohamedaleem.online

Experience

16 yrs 8 mos

Total Experience

4 yrs 2 mos

Average Tenure

12 yrs 9 mos

Current Experience

Self-employed

2 roles

Mobile Solutions Architect

Oct 2022 – Present · 3 yrs 7 mos

Worked directly with U.S. founders on ambitious early-stage products and MVPs, translating complex ideas into production-ready apps with a strong focus on UX, collaboration, and real-world usability.
Below is a brief overview. More technical and product details are available in the Projects section.
⸻
Papr — Collaborative Video Feedback Tool
Built a video annotation app that lets teams leave precise, timestamped feedback directly on the video timeline and screen.
Focused on collaboration-first UX and real-time sync to turn fragmented review workflows into a single, actionable workspace.
⸻
Health Kiosk App — Clinical Research App for U.S. Hospitals
Worked on a ResearchKit-based healthcare app supporting informed consent, eligibility screening, surveys, and longitudinal health tracking.
Translated real clinical study protocols into reliable, patient-friendly flows while ensuring structured, analyzable data capture.

FirebaseUI/UXSwiftUIiOS developmentReact Native

Indie iOS developer

Aug 2013 – Present · 12 yrs 9 mos

Built apps that solved problems I personally cared about — they evolved over 3–10 years, grew in scope, and required real engineering depth across mobile, data, and cloud systems.
Below is a short overview. More details are available in the Projects section.
⸻
EngzKetab — Arabic Book Summaries App
Built a cross-platform Arabic learning app with 200,000+ downloads, 1,000+ ratings, and a 4.5★ average, focused on long-term knowledge building.
Evolved over multiple years into a structured content system with personalized learning paths, quizzes, progress tracking, and gamification.
⸻
QesetKhabr — Arabic News Story Clustering
Built an automated Arabic news app that aggregates and analyzes thousands of articles daily, clustering coverage of the same real-world event into a single story view.
Designed a scalable Google Cloud pipeline where new newspapers could be integrated by adding only an RSS feed and schema.
⸻
AI Powered iOS apps (SuperTuber, HalfDone, NotesAgent, ChatG)
What I enjoy most in making AI apps is making AI feel invisible but powerful: native UI first, AI second. I start with Apple frameworks and clean interaction design, then weave in LLMs only when they improve clarity, speed, or decision-making.
I’m a fan of hybrid setups—Core ML on-device for fast/common tasks, external models for heavy reasoning—plus offline-first architecture so the app never collapses when the network does.
⸻
FlexiPlanner — Time-Based Day Planner (iOS)
Built a calendar-synced day planner with a live, continuously updating timeline and gesture-based task adjustments.
It was featured by Apple (Best New Apps) and covered by popular tech reviews websites like The Next Web, iMore, and BGR.

iOSData EngineeringReact NativeGoogle Cloud Platform (GCP)iOS development

Gigster

Freelance iOS developer

Jan 2015 – Jan 2022 · 7 yrs

Worked as a freelance iOS developer on multiple client apps delivered through Gigster, spanning real-time communication, social video, and more.
Projects varied from solo, end-to-end builds to team-based deliveries with strict client and timeline constraints.
App Domains Covered
Live video & audio streaming — Real-time conversations, controlled roles, listener engagement
Video-first social apps — Media-heavy feeds, follows, likes, sharing, creator discovery
Healthcare & mental health — Structured check-ins, educational content, medication tracking, multilingual support
Location-based experiences — Map-driven journeys, background location tracking, real-world progress detection
Lifestyle & consumer apps — Food discovery, fashion browsing, goal tracking, rewards, gamification
Media & image processing — Programmatic image composition, customization, print-service integrations
More detailed app breakdowns — including the specific tech stacks used — are available in the Projects section.

Kngine

Machine Learning Engineer

Jul 2012 – Sep 2013 · 1 yr 2 mos

Intelligent engine that answers naturally posed factual questions (Acquired by Samsung)
Convert users Arabic inquiries into structured data via POS, used to query our DB.
Implemented some rule-based NLP algorithms to enhance entities extraction from users questions

Sakhr software

Software Engineer

Jul 2011 – Jun 2012 · 11 mos

- Contributed in Upgrading IDRISI Search Engine To work as a cluster system on more than one node in windows Server 2008

Distributed arabic search engine

Machine Learning Engineer

Jul 2009 – Jun 2011 · 1 yr 11 mos

Used MPI for parallel crawling of the web and to avoid content duplication
Implemented Bayesian algorithm to classify the crawled Arabic web pages into 5 categories (40g of content)
Implement algorithm to auto detect Arabic pages and filter out other languages content for efficient web crawling