Lex Hrabovskyi

Problem

The team needed shared health-data persistence across iOS and Android without slowing existing product delivery.

Constraints

Existing native apps, legacy storage paths, iOS packaging constraints, CI complexity, and production-quality offline behavior.

My role

Architected and shipped the KMP storage module, owned iOS integration quality, and built the CI validation path.

Result

Replaced 2 of 5 legacy storage implementations, enabled 4 product screens to work fully offline, and created a ~5-minute CI pipeline with 83% coverage.

Business impact — Reduced duplicate platform work and made future cross-platform feature delivery safer and cheaper.

Highlights

• Replaced 2 of 5 legacy storage implementations and enabled 4 product screens to work fully offline.
• Built the org-standard CI pipeline for KMP modules: ≈5-minute runs, 83% test coverage including E2E, and merge-blocking validation against stale iOS XCFrameworks.
• Directed Claude Code for ADR drafting, schema iteration, and test scaffolding — while owning implementation, architecture, review, and integration quality.

Problem

Trip detection quality directly affected user trust in the core product.

Constraints

Legacy Objective-C code, sensor variability, background execution, regression risk, and release safety.

My role

Owned the trip-detection engine, evaluation loop, rollout safety, and analytics.

Result

Reduced split trips by ~50% and achieved sub-20-second trip starts using signal-driven warm-up.

Business impact — Improved reliability of the product’s core experience without destabilizing production releases.

Highlights

• Cut split trips by ≈50% and achieved sub-20-second trip starts by introducing signal-driven warm-up.
• Prevented regressions before release with replay-based integration tests around the legacy Objective-C stack; staged rollouts behind feature flags.
• Set up analytics — event schema, trip-funnel dashboards via Bitdrift — and partnered with the data team to evaluate engine changes.
• Planned a safe rewrite: a six-module design and Swift 6 upgrade path that lets the engine evolve without breaking releases.

Problem

The product needed to capture, preview, and replay AR design sessions without duplicating rendering logic or missing enterprise deadlines.

Constraints

ARKit rendering, Metal/AVFoundation capture, depth and 3D object data, real-time collaboration, iPad UX, and enterprise delivery.

My role

Owned mobile delivery for AR recording, real-time preview, SwiftUI cleanup, and the first visionOS direction.

Result

Delivered a 60 FPS replay pipeline, real-time iPad preview, and a SwiftUI revamp of ~12 screens in 2 months.

Business impact — Unlocked a customer contract and made the product more maintainable for future spatial computing work.

Highlights

• Delivered an AR recording pipeline (ARKit + Metal + AVFoundation): video, depth and 3D objects captured into a single package with on-device post-processing for 60 FPS replays (vs ≈30 FPS live).
• Streamed strokes over WebSockets to a 3D mannequin preview on iPad, reusing the rendering core to avoid duplicate logic.
• Shipped a SwiftUI revamp of ≈12 screens in 2 months — removing unused 3D UI under a tight deadline to unlock a customer contract.
• Adapted immersive 3D scenes and kicked off the transition to visionOS (Apple Vision Pro).

Distributed via TestFlight to enterprise customers — no public App Store listing.