Shai Kalev

Directed the architecture and deployment of a unified cloud platform powering multiple generative-AI services for real-time voice, music, and 3D content creation. Guided a small engineering team through production development, technical decisions, and hiring.

• Architected a Unified Multi-Service Platform: Designed a consistent API and orchestration framework for inference workers, standardizing logging and deployment practices across AI pipelines.
• Deployed GPU-Accelerated Inference Services: Implemented Docker-based GPU build and release pipelines on RunPod with scalable deployment and hardware validation for reliable production performance.
• Integrated Native Mobile Authentication Bridges: Built Unity-native SDK bridges for iOS and Android to enable secure user authentication and platform service access within mobile builds.
• Prototyped Generative AI Workflows: Built gameplay and creative prototypes combining real-time generative audio, procedural assets, and 3D model generation.
• Technical Leadership: Mentored engineers, defined best practices, and participated in candidate evaluation to build a high-performance, collaborative team.

A self-directed macOS productivity tool for identifying and acting on time-sensitive trading opportunities.

• SwiftUI Application Architecture: Built natively in SwiftUI using Swift Concurrency for responsive UI and real-time data updates.
• Data Persistence & Sync: Integrated SwiftData and CloudKit for secure, synchronized storage across macOS devices.
• AI-Assisted Development: Architected and developed the entire system solo, using multiple generative AI agents to accelerate implementation from concept to MVP in under two weeks.
• Automated Trading Workflow: Built a real-time workflow that transforms noisy chat data into actionable trading signals with immediate user alerts.

Served as a key technical leader reporting to the C-Suite, driving the design and implementation of the Arctop Central ecosystem — a real-time neural data platform enabling emotion-aware experiences through on-device AI.

• Pioneered On-Device AI Pipelines: Architected and implemented TensorFlow Lite–based processing of EEG signals directly on mobile devices, ensuring low latency and privacy preservation.
• Led Migration to Native Mobile: Transitioned core applications from React Native to Swift and Kotlin, resolving performance issues and unlocking real-time data streaming and hardware access.
• Developed GraphQL Schema & Client Integrations: Collaborated on defining the GraphQL schema and built native and Unity client integrations, enabling real-time communication between mobile apps and cloud analytics services.
• Built BLE & Device Communication Stack: Developed secure Bluetooth integration for real-time data transmission between EEG devices and mobile applications.
• Owned Cross-Platform SDK Development: Created and maintained the ArctopSDK for Unity, iOS, and Android — enabling rapid internal development and external developer integrations.
• Collaborated on AI-Driven Experiences: Integrated real-time emotional data with generative and adaptive systems, demonstrating new modes of emotionally responsive interaction.
• Mentorship & Direction: Worked closely with leadership on technical planning, guiding junior engineers, and establishing consistent coding standards across teams.