An independent perspective. A shared ambition.

From possibility
to production.

I’m Svjatoslav Boiko. A Staff iOS Engineer at Apple,
leading an AI engineering team from first idea to real-world use.

01 / Profile

A considered approach
to complex problems.

My work brings together technical leadership, product development, and AI. I turn ambiguous ideas into products that people can rely on.

At Apple, I lead an AI engineering team building internal products for software and hardware engineering organisations. My responsibility spans discovery and prototyping, technical direction, architecture, and production.

Before Apple, I worked across the full lifecycle of mobile products: early-stage MVPs, white-label platforms, enterprise applications, and systems serving more than 200,000 daily active users.

I do my best work where the problem is not yet fully defined, the technical bar is high, and engineering decisions matter to the product and the organisation around it.

Read the original resume

Since 2013Engineering Apple platforms

~2,000 engineersUsing a product I led at Apple

200,000+ daily usersScale of earlier mobile products

02 / Selected work

The work, in practice.

A selection of products, decisions, and the teams behind them.

I / Apple · Since November 2024

AI products.
Real engineering.

Staff Engineer · AI team leadership

From an internal idea to a product used by approximately 2,000 Apple engineers.

I lead the team that turns early ideas into useful internal products. I frame the problem, bring together the right domain experts, choose a technical direction, and get working prototypes in front of users.

One product supports software engineering workflows. A second, currently in development, addresses hardware engineering: boards, chips, and the workflows around them.

Leadership & delivery

Discovery, research, technical exploration, and prototyping run in parallel. Where the problem allows, an early idea can become a useful proof of concept within one or two sprints.

Once the concept proves its value, I guide the team into production: architecture, UX, performance, reliability, memory, security, maintainability, and scale. I establish shared context, give engineers ownership, remove blockers, and connect teams across domains.

Swift · SwiftUI · macOS · Agentic AI · LLM orchestration · Tool calling · RAG · MCP · Evals · Context management · AI observability

Original case study

II / Applica · Started January 2024

Five Minute
Journal.

Principal Engineer · Cross-functional leadership

A team of seven engineers.
iOS, Android, and backend.

A stronger architecture. A more independent team. Measurable product outcomes.

I led a cross-functional engineering team, modernising the application with SwiftUI and a modular architecture, redesigning API integration, and establishing A/B testing and event taxonomy.

The work connected engineering decisions with delivery speed, product insight, and customer experience.

66% less implementation time following the move to SwiftUI and modular architecture.
30–70% less setup time for A/B tests.
15% increase in realised LTV through data-informed product work.

Decisions, outcomes & supporting material

The technical direction followed an audit of delivery constraints, a monolithic codebase, performance bottlenecks, and unstable integrations. I also mentored engineers through architecture decisions, code reviews, and knowledge sharing.

The supporting performance report records an app start time of 654 ms, 59% faster than three months earlier. Performance work contributed to a 40% reduction in complaints related to app performance. A new API version and data-handling improvements increased overall application performance by 30%.

Swift · SwiftUI · Combine · Flux · Modular architecture · API design · A/B testing · Product analytics · Database optimisation

Five Minute Journal — application overview from the original portfolio.

Five Minute Journal — transition from a monolith to a modular architecture.

Five Minute Journal — a development update about reusable UI components and personalisation.

Five Minute Journal — annotated product metrics from the original case study.

Five Minute Journal — 654 ms app start time; the source reports a 59% improvement over three months.

Five Minute Journal — before and after Crashlytics reports included in the original case study.

Five Minute Journal — engineering workflow and task tracking.

Feedback reproduced from the original resume.

Five Minute Journal — realised LTV per customer, with product changes annotated.

Five Minute Journal — historical realised LTV per customer.

Original case study View on the App Store

III / TONS · 2020 & 2022

One foundation.
More possibilities.

Staff Engineer · TONS & INON

Mobile product engineering, from a delivery platform to a white-label application.

For TONS, I modernised application architecture, networking, and persistence; replaced Realm with Core Data; and worked through performance and data-model problems.

INON built on that foundation as a white-label grocery application. My role combined hands-on implementation with mobile team leadership, business-logic decisions, and collaboration across backend, Android, and UI.

Platform work & product details

At TONS, the work included moving beyond the existing MVC structure, implementing a new networking architecture, adopting JSON API, removing unnecessary third-party frameworks, and facilitating workshops.

At INON, I analysed business requirements, proposed implementation options, contributed new functionality, and helped coordinate delivery across disciplines. The application passed its first App Store review without a rejection.

Swift · SwiftUI · Combine · Flux · White-label architecture · Core Data · Networking · Cross-functional architecture

TONS — product screenshots from the original portfolio.

INON — product screenshots from the original portfolio.

TONS case study INON case study

The way I work

Understand the problem.
Give people ownership.
Build for the long term.

Research and prototyping make the direction clearer.
Sound architecture and an autonomous team make it sustainable.

03 / Experience

A career built
through practice.

From my first application in 2013 to leading AI engineering at Apple.

2024AppleStaff Engineer · Started 11.2024

Leading an AI engineering team building internal products for software and hardware engineering organisations. One product is used by approximately 2,000 Apple engineers.

Read the selected case study ↑

Swift · SwiftUI · MacOS · macOS App Development · Agentic AI · LLM Integration & Orchestration · Tool Calling · RAG · Evals · MCP · Memory / Context Management · AI Observability

From possibilityto production.

A considered approachto complex problems.

The work, in practice.

AI products.Real engineering.

Five MinuteJournal.

One foundation.More possibilities.

Understand the problem.Give people ownership.Build for the long term.

A career builtthrough practice.

Depth, whereit matters.

Apple platforms

AI & agentic systems

On-device intelligence

Architecture & product engineering

IT Engineer

A good conversationis a good beginning.