Robin Winters

Robin Winters: fitness technology evidence

Native product delivery, fitness context and clearly scoped technical proposals.

I’m Robin Winters, iOS/Full Stack Engineer at ShowFlex. My fitness-technology work connects competition and event information with a native iPhone product. I work across Swift, SwiftUI, MapKit, Firebase-backed data and interaction quality.

1. Review the released discovery product

ShowFlex’s iPhone App Store listing provides release evidence, including map and calendar features in the reviewed version 17.0. My work account covers the connection between event data and native discovery. AI-assisted physique and posing feedback and predictive competition features remain prototype work in the approved record.

2. Follow the data to an interaction

A competition calendar is useful only when an event’s identity, date and source survive normalization. The educational Swift pipeline demonstrates explicit timezone handling, source-scoped identifiers, retransmissions and visible conflicts. Its public source includes synthetic fixtures and 12 passing tests on macOS and Linux, including Swift 6.0.3.

The separate native search demo illustrates the interface boundary: an obsolete request must not replace the latest results, and selection resolves through identity. Actual simulator screenshots document a limited search-and-selection check. These assistant-supported teaching examples do not disclose private ShowFlex code.

3. Distinguish qualifications and proposals

My confirmed fitness credentials are Certified Personal Trainer (NASM-CPT), NASM Certified Nutritionist and Physique and Bodybuilding Coach (PBC). PBC has issuer-hosted verification, issued September 20, 2026 with no expiration shown. The CPT and exact nutrition title are first-person confirmed; individual verification links and dates remain to be supplied.

My distributed kinematic sensing article proposes coordination across Apple devices and workout context. It is an architecture proposal, with no released sensing product, measured accuracy or Apple endorsement established.

For a product conversation, useful topics are event-data quality, native discoverability, meaningful workout context and the evidence needed before moving a fitness AI prototype into use.

Fitness-technology resume variant · Current PDF · Approved record

Self-authored professional review guide, prepared with editorial assistance. Updated October 3, 2026.

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