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Senior iOS Engineer

Ada Kirsch

I work on iOS applications where product quality, reliability, and long-term maintainability matter.

Ada Kirsch
10+ years software engineering experience
iOS at scale Swift, Objective-C, UIKit, SwiftUI
AI-native workflows building tools that help mobile teams adopt AI-first development practices
London, UK collaborating with teams across multiple time zones

How I work

Calm technical judgment, clear tradeoffs, maintainable code.

I like understanding why a system became complicated before changing it. Good architecture matters, but so does knowing when a smaller change is the better engineering decision.

I enjoy teams where engineers can be direct, thoughtful, and practical. Recently, a meaningful part of my work has been helping shift company development workflows toward an AI-native engineering stack.

Engineering strengths

Pragmatic mobile engineering for real product pressure.

I work best where product needs, quality expectations, and technical complexity all have to be balanced without slowing the team down.

AI-native engineering workflows

Work on bringing AI into the development stack in a practical way: improving exploration, implementation, review, and feedback loops without lowering engineering standards.

Architecture that can evolve

Clear module boundaries, sensible abstractions, and code that stays readable as teams and features grow.

Delivery with quality

Strong focus on reviews, testing, maintainability, release risk, and practical tradeoffs around deadlines.

Experience

I am used to working on mature iOS products with real constraints.

Large codebases

Comfortable improving mature iOS apps where history, ownership, dependencies, and release expectations matter.

Modernization work

Experienced at moving code toward safer Swift patterns while respecting existing Objective-C, UIKit, and product constraints.

Team leverage

I care about clear reviews, useful technical discussion, and decisions that make future work easier for the whole team.

Talks, writing, and mentoring

Selected work beyond day-to-day engineering.

Ladies Who Tech: AI Era

Panelist on AI for Human Skills, discussing how AI affects learning, collaboration, and the way teams work.

The AI Journal

Wrote about practical AI agent use in mobile development, with iOS engineering as the frame.

TechBullion

Wrote about server-driven collection views, compositional layouts, and keeping dynamic UIKit screens maintainable.

The New Stack

Wrote about iOS interview preparation across coding, system design, and behavioral rounds.

Yotewo Podcast #28

Discussed mobile experience, collaboration, AI tools, and how the engineering market is changing.