Anton Lorani-Senior Software Engineer
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Experience
Freelance Software Developer
Anton Lorani Software&AI Engineering
Senior Software Engineer
CHECK24
- Owned the architecture and delivery of ICAO 9303-compliant eMRTD solutions across iOS, Android, and backend systems, enabling secure electronic passport verification.
- Established the technical foundation for real-time cross-platform image processing using C++, WebAssembly, and JNI, increasing engineering productivity by approximately 200%.
- Designed and delivered production-grade native identity verification SDKs for iOS and Android, powering customer-facing identity verification workflows.
- Architected and implemented high-throughput, low-latency document processing infrastructure handling tens of millions of highly sensitive identity documents in regulated fintech environments.
- Automated validation and testing pipelines for mobile SDKs and backend services, significantly improving release reliability, developer confidence, and deployment speed.
- Conducted offensive security research on native mobile platforms, identifying attack vectors and implementing mitigations against runtime manipulation, spoofing, and replay attacks.
- Developed internal AI engineering tooling and autonomous workflows for regulated environments, saving developers hours of manual work each week while accelerating software delivery.
- Mentored engineers across multiple teams and drove adoption of modern architectures, cross-platform technologies, and engineering best practices.
Software Engineer
CHECK24
Played a key role in building the technical foundation of CHECK24's in-house identity verification platform, contributing to double-digit improvements in onboarding conversion rates.
Designed and implemented a complete ICAO 9303 eMRTD solution for iOS and Android from scratch, including zero-trust server-side certificate validation for electronic identity documents.
Architected a future-proof CMake-based build system for a cross-platform C++ image processing engine targeting Android (JNI) and WebAssembly.
Ported and optimized TensorFlow Lite, OpenCV, XNNPACK, and related dependencies for WebAssembly, enabling SIMD acceleration, multithreading, and real-time performance across web platforms.
Continuously improved our build system for reliable and product-manager/qa transparent deployments of our native apps and internal libraries with cirrus tart and docker
Contributed to backend services built with Java and Spring Boot.
Collaborated closely with product owners and business stakeholders on technical strategy, feasibility analysis, and project planning.
Conducted offensive security research against mobile SDKs using Frida, Ghidra, and custom attack tooling to identify runtime vulnerabilities, MitM attacks, and camera spoofing techniques, producing risk assessments and mitigation strategies.
iOS Engineer
CHECK24
- Contributed to transforming the native CHECK24 Insurance app into an award-winning, market-leading iOS experience.
- Designed and introduced a scalable URL-based navigation architecture supporting complex native and web application flows.
- Collaborated with backend teams to design and implement REST APIs.
- Developed internal debugging and runtime inspection tools to improve engineering productivity.
- Increased automated test coverage to approximately 80% through unit, UI, and snapshot testing.
- Maintained and expanded cross-platform end-to-end UI test infrastructure.
- Led large parts of the migration from Storyboards to modern UIKit-based architectures.
- Implemented customer experience improvements across document scanning, animations, and onboarding flows.
- Worked closely with product managers, QA engineers, and management to improve product quality and engineering processes.
- Supported engineering teams across the organization with platform integration and technical guidance.
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Insurance, and Banking and Finance.
Business Area Experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Product Development, Research and Development, and Quality Assurance.
Summary
I'm a highly experienced software engineer specializing in high-performance native applications across identity verification, AI, and security. I build reliable systems for products where correctness, performance, and security matter. From mobile SDKs to backend infrastructure and developer tooling.
Previously, I majorly contributed to AI-powered identity verification platforms from the ground up in a fast-paced environment, leading business-critical components across iOS, Android, Web, and backend services (Java+Go). I enjoy tackling technically demanding problems, designing maintainable architectures, and shipping reliable production-ready software.
Some highlights of my experience:
- Led the development of ICAO 9303-compliant eMRTD readers across iOS, Android, and backend services.
- Built the foundation for real-time image processing on Web and Android using C++, WebAssembly, and JNI.
- Developed native identity verification SDKs used in production across iOS and Android.
- Led the development of high-throughput, low-latency document processing pipelines handling millions of sensitive identity documents.
- Automated validation and testing for mobile SDKs and internal server-side systems to improve reliability and release confidence.
- Conducted offensive security research and implemented mitigations for native mobile platforms.
- Built custom AI tooling for regulated fintech environments to improve developer productivity and automate complex workflows.
- Mentored engineers and helped teams adopt modern architectures, technologies, and engineering practices.
I'm particularly interested in engineering heavy projects involving native mobile development, C++, AI, computer vision, distributed systems, security, and performance-critical software.
Languages
Education
Deutsche Telekom AG
Application Development · Computer Science
- Researched, developed, and deployed a Self-Attention Generative Adversarial Network (SAGAN) for automated image colorization.
- Developed an IoT platform for digital beekeeping monitoring using vanilla JavaScript.
- Built a machine learning system for plant growth recognition and prediction integrated with the T-Systems Cloud of Things platform.
- Designed and developed the accompanying iOS application for real-time visualization of IoT sensor data within the T-Systems Innovation Center.
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