Nicolas Gomollon

VeritranRemote

Built peer-to-peer payment functionality using CoreBluetooth with proximity pairing and bidirectional device communication for secure local transfer flows.
Deployed on-device facial recognition with CoreML, keeping biometric processing local while supporting ticket resale prevention workflows.
Refactored RESTful networking and streaming APIs with Swift Concurrency, improving testability, integration ergonomics, and async workflow clarity.
Modernized client-facing iOS SDKs by replacing Alamofire with URLSession, reducing external dependencies and improving long-term maintainability.
Implemented server-driven iOS flows with structured data models, async/await task handling, and main-thread UI coordination for product and SDK features.
Created GitHub Actions CI/CD pipelines for iOS build, test, and integration workflows, improving release automation and validation coverage.

Techno-MagicRemote

Architected, built, tested, and released a portfolio of 19 independent iOS apps across consumer, utility, and product-focused experiences.
Translated user research and product requirements into design specifications, technical plans, and maintainable iOS architecture decisions.
Designed reusable SwiftUI/UIKit components and shared app foundations using MVVM-style separation, enabling faster feature delivery and more consistent UI behavior across multiple iOS products.
Integrated AI-assisted development workflows with code review, refactoring, and test-generation practices, accelerating repetitive implementation work by 50 percent while preserving maintainability and review quality.
Owned end-to-end delivery from product definition and implementation through release, iteration, and ongoing maintenance.

X-Empire Inc.Playa Vista, CA

Built live-streaming functionality from 0 to 1, leading iOS architecture for real-time video/audio capture, encoding, playback, compositing, and camera recording.
Optimized camera recording, video playback, and live-streaming components, reducing crashes by 60 percent and improving app responsiveness.
Standardized architecture across 100K+ lines of code through refactoring, code reviews, and maintainability improvements.
Translated user needs with cross-functional product and design teams into major releases, increasing time spent in the app by 125 percent.
Guided stack, process, and architecture decisions across the iOS codebase, improving technical direction and release quality.
Mentored engineering peers on code standards, architecture patterns, debugging practices, and advanced iOS techniques, strengthening knowledge sharing and technical execution.
Diagnosed production live-stream regressions on older overheating devices using logging and analytics, then reduced CPU throttling by tuning stream quality and real-time feature frequency.

Jeff Kleid ConsultingIrvine, CA

Led a 4 person team building WALT, a machine learning powered interview practice app with chat-style coaching and structured answer feedback.
Trained an ML model on hundreds of collected interview responses to classify strong answers and answers needing improvement.
Delivered client milestones in two-week Scrum sprints, coordinating cross-functional design, implementation, and review across the team.
Designed app architecture for high cohesion and low coupling, supporting maintainable feature development from prototype through implementation.