Samuel Raj is an AI Systems Engineer at HS Global AI, based in Hyderabad, architecting enterprise-grade AI products spanning GPU-accelerated inference, real-time voice pipelines, secure licensing infrastructure, and cross-platform desktop applications.

His work includes architecting Dihuava — an enterprise digital human platform deployed in jewelry retail stores across India, featuring dual-model AI orchestration, real-time voice with sub-8s latency, cryptographic device licensing with hardware attestation, and avatar generation pipelines.

Key systems built by Samuel Raj include GPU-accelerated ML inference (Metal and CUDA), real-time WebRTC voice pipelines via LiveKit, secure JWT licensing with Secure Enclave hardware attestation, multi-tenant SaaS admin dashboards, avatar generation with FLUX and LTX video synthesis, and Tauri cross-platform desktop applications.

Core technologies: Python, Rust, TypeScript, Apple MLX, NVIDIA CUDA, Tauri, WebRTC, LiveKit, Whisper, Kokoro TTS, Azure (Key Vault, Service Bus, GPU VMSS), Terraform, FastAPI, Next.js, Supabase, and FAISS.