Abdul Moiz Dev builds mobile products, backend systems, real-time infrastructure, and native Android integrations — Flutter, React Native, FastAPI, Go, Kotlin, and more — including production work scaled to 100,000+ downloads.
# whoami Abdul Moiz Dev — @itxmoizdev # cat skills.txt › Flutter · React Native · Kotlin › FastAPI · Go · Node.js · PostgreSQL › Supabase · Dragonfly · FFI · VoIP # cat experience.txt › 3+ years building production systems › 100k+ app downloads shipped › 42% API latency reduction › Follow Pay · Alo Voice · BEMXC · OSS # status Open to new roles
From mobile and systems languages to data and infra — every layer talks to the next.
I build cross-platform mobile products in Flutter and React Native, and drop to the native layer when the product needs platform APIs, performance work, or tighter lifecycle control.
I design APIs and communication-heavy backends for products that need reliable data paths, social/task pipelines, and real-time behavior under load.
Going beneath the abstraction. Deepening my work in Kotlin and Android's native architecture to better understand concurrency, lifecycle, performance, and the platform underneath cross-platform frameworks.
Cross-platform when it makes sense. Native when the system demands it.
Designed and built the cross-platform Flutter rewards product and its evolving backend — from an early Supabase setup through FastAPI, Go services, and real-time chat infrastructure supporting 100,000+ active downloads.
Built and operated high-throughput decoupled microservices across cloud and Linux VPS configurations for thousands of async operations daily.
Implemented custom native mobile wrappers and biometric hardware integrations across 5+ commercial pipelines.
Real systems. Real scale. Real outcomes.
VoIP Calling Platform — React Native with Native Android Architecture
React Native · Node.js · Telnyx · Kotlin / Native Android · CallKeep · VoIP
Built calling architecture that reaches beyond React Native into native Android, CallKeep, and Telnyx-backed VoIP flows for real device call behavior.
Engineered communication between the React Native surface and native Android calling code so platform events, call state, and UI stay coordinated.
Handled Android lifecycle edges and race conditions around incoming/outgoing calls so the experience remains reliable when the app is backgrounded or resumed.
Rewards platform that evolved from Supabase to a distributed Flutter + backend stack — 100,000+ downloads
Flutter · GetX · Isar · SQLite · Hive · FastAPI · Go · PostgreSQL · Supabase · Dragonfly
Built the cross-platform Flutter ecosystem powering Follow Pay — now live on Google Play with over 100,000 active downloads, and documented in the engineering case study.
Reduced baseline API latency by 42% through strategic caching layers, optimized routing, and PostgreSQL-backed service paths across the rewards backend.
Eliminated rendering drops across all target devices, delivering a consistent 60 FPS Flutter interface under production load conditions.
Trading Platform
Kotlin Multiplatform · Rust
Built the trading client around Kotlin Multiplatform so shared business logic and platform targets stay in one coherent mobile architecture.
Implemented the backend in Rust for a trading platform that needs tight control over performance-sensitive server paths.
Designed as a high-frequency trading platform — architecture chosen for trading workloads rather than a conventional CRUD product shape.
Production-grade AI system with persistent memory and real-time contextual reasoning.
High-throughput async messaging backbone for decoupled microservices.
Maintained by Abdul Moiz Dev · itxmoizdev
Community-maintained Flutter TDLib integration originating from a production Telegram workflow in Follow Pay — Dart FFI access to libtdjson on Android, with typed API models for developers looking for a maintained alternative to handy_tdlib.
TDLib v1.8.36 · Android · libtdjson · FFI
Open source. Not an official Telegram, TDLib, Naji, or HandyGram release.
Self-driven study in distributed databases, Citus sharding, and performance optimization — no classroom required.
Continuous self-directed learning across systems work — with deeper Kotlin and Android study covered in Engineering Focus.
Available for lead engineering roles, contracts, and ambitious products that need to scale without burning budget.