Available for work

Johnson Elangbam

Senior / Staff iOS Engineer

18+ years architecting and leading iOS engineering for enterprise clients — Ford, Avaya, AutoZone, Domino's, and Thomson Reuters. Clean Architecture, team leadership, and CI/CD at scale, with hands-on depth in on-device AI integration.

Based in Imphal, India — Remote-friendly
Johnson Elangbam
99% Crash-free rate
30-70% Build time faster
18+ years iOS
SCROLL
WHAT I'M WORKING ON NOW
Currently maintaining AIAnalyzer, an open-source Swift static analysis CLI with hybrid on-device/cloud AI fix suggestions — recently shipped v0.2.0 with automated Homebrew releases. Also open to Staff/Lead iOS roles and freelance engagements in iOS development and on-device AI integration.

Engineer who architects and leads production-grade iOS systems at scale.

I architect and lead iOS engineering teams building production-grade systems at enterprise scale — Clean Architecture, MVVM, and modular design across VoIP, automotive, retail, and financial domains. I've raised crash-free sessions from 96% to 99%, cut CI/CD release cycles by 30-70%, and mentored 4-5 engineers at a time while staying hands-on in Swift and SwiftUI.

More recently, I've extended that foundation into on-device and cloud AI integration — building hybrid systems like AIAnalyzer, a Swift static analysis tool with AI-assisted fix suggestions. It's a natural extension of the same architectural thinking, not a separate specialty.

99%

Crash-free rate at Neurealm, up from 96%

through rigorous stability engineering

30-70%

Build time reduction at Cognizant

through advanced CI/CD automation

Services

iOS Development & Architecture

Building and refactoring iOS apps with Clean Architecture / MVVM, Swift Concurrency, and modern SwiftUI — real track record of turning unstable codebases into reliable ones (96%→99% crash-free, 40-50% fewer production defects).

CI/CD & Release Automation

Cutting build/release cycles from days to minutes (real track record: 30-70% faster releases), automated testing, GitHub Actions pipelines, Homebrew/App Store release automation.

App Stability Engineering

Swift Concurrency migrations (async/await, Actors), thread-safety fixes, crash diagnosis and resolution at production scale.

On-Device & Cloud AI Integration

Building hybrid AI systems that intelligently choose between local inference (Core ML, MLX, Ollama) and cloud APIs (Gemini) — privacy-conscious, cost-conscious AI features for iOS apps.

VoIP & Real-Time Communication

Enterprise voice/video applications, SIP/PJSIP/WebRTC. Background depth from 18 years in the space — available if it's the right fit.

Fortune 500
track record.

🚗

Ford Motors

AUTOMOTIVE

Engineered CI/CD pipelines using CircleCI and Concourse CI, cutting release cycles from days/weeks to minutes (30-70% faster builds).

🔧

AutoZone

RETAIL

Led iOS development, mentored engineers on architecture patterns.

📡

Avaya

ENTERPRISE VOIP

Workplace & Spaces SDK across video conferencing and real-time communication.

🍕

Domino's Pizza

FOOD-TECH

Voice-ordering iOS app, national rollout to 5,000+ locations.

⚖️

Thomson Reuters

LEGAL & FINANCIAL

Elite 3E, a law-firm management iPad app.

BY THE NUMBERS

30-35%

Faster feature delivery velocity

4-5

Engineers mentored per team

5

Fortune 500
enterprise clients

"18 years of building production software means I've seen what breaks, what scales, and what actually ships."

What I've
been building.

View all on GitHub ↗
Swift CLI Static Analysis AI

AIAnalyzer

A Swift static analysis CLI distributed via Homebrew. Detects architectural smells — God Objects, Large Classes, MVVM violations — with AI-assisted fix suggestions across Cloud, Local, and Hybrid modes.

  • Cloud, Local & Hybrid Modes: Evaluates confidence of on-device Qwen2.5 inference, seamlessly escalating to Gemini Cloud when required.
  • Deep Static Analysis: Uses SwiftSyntax AST parsing to detect structural rot rather than simple styling lint issues.
  • CI/CD Integrated: Outputs SARIF data for native integration into GitHub Code Scanning.
GitHub
Swift Core ML Vision On-Device AI

Smart Attendance

iOS app recognizing faces in real time using Apple Vision and a Core ML FaceNet model. Registers faces on-device with zero cloud dependency.

GitHub
macOS Security Swift

SeekAndDestroy

macOS security scanner for Apple Silicon. On-demand scanning covering SHA-256 hashing, code signature validation, persistence scanning, YARA integration, and FSEvents monitoring.

GitHub
SwiftUI FastAPI On-Device AI MLX Privacy-First

Genesis

A full-stack, fully local AI system to preserve knowledge, voice, and memory. SwiftUI iOS front end backed by FastAPI + local MLX inference (Qwen2.5-14B) — no cloud dependency, no third party.

Swift OCR Computer Vision Localization

Meitei Mayek Transliterator

iOS app for OCR extraction and transliteration of the Meitei Mayek script. Includes a custom glyph recognition pipeline — Apple Vision has no native support for this script.

GitHub
Swift Bluetooth LE IoT

BLE Robot Controller

iOS app for controlling a robot over Bluetooth Low Energy, demonstrating hardware/IoT integration alongside mobile AI work.

GitHub
JavaScript PWA Vanilla JS Fitness

Strike First

A mobile-first boxing power & conditioning PWA covering strength, bag, and technical training days. Built entirely with Vanilla JS, HTML, and CSS — zero frameworks, offline-capable, and installable as a native app on Android, iOS, and macOS.

"Johnson is a very sound iOS lead. His technical grip as well as leadership skills are the right combination to get projects done… He has excellent communication skills with the team as well as with the customer."

Quick answers.

What kind of engagements do you take? +
Full-time Staff/Lead/Principal iOS roles, and freelance engagements in iOS development and on-device AI integration.
Do you work remote-only? +
Yes, remote-first, based in Imphal, India (GMT+5:30). Open to occasional travel if necessary for the right team.
What's your typical availability? +
Currently available for new opportunities. Please reach out via email to discuss timelines and capacity.
What industries have you worked in? +
Enterprise VoIP, automotive, retail, food-tech, and legal/financial. Check out the Enterprise Experience section above for details.