Oleksandr S.
Voice AI Engineer
About
Alexander specializes in the development and deployment of high-load Artificial Intelligence systems, with a particular focus on Voice AI and MLOps infrastructure. His expertise spans the entire product lifecycle: from processing terabytes of raw data and field-calibrating sensors to deploying scalable microservices in Kubernetes. He excels at transforming complex technological challenges - whether defending against synthetic deepfakes or automating industrial agriculture - into stable, production-ready solutions. With a deep background in Voice AI, Alexander has delivered a range of mission-critical projects in Audio Intelligence and Biometrics, including real-time deepfake detection and multi-modal identity verification platforms. His skill set includes working with SOTA models for Speech-to-Text (ASR), diarization, and intelligent summarization using LLM and RAG architectures. By utilizing a stack featuring NVIDIA NeMo, Whisper, and Triton Inference Server, he builds low-latency systems capable of performing efficiently under heavy computational loads.
Key Expertise
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Project Portfolio
Deepfake Voice Detection System
AI Solutions Architect
Telecom providers and financial institutions needed a solution to detect synthetic speech and protect against voice fraud in call centers. We built a real-time deepfake detection system for streaming audio using speaker recognition, diarization, ASR, Deep Fake detector model.
AI Audio Summarization & Call Analysis
AI Voice Engineer
Call center teams and financial services wanted faster review of long customer calls for compliance and support optimization. Built an AI-powered system for speech-to-text transcription, speaker separation, and intelligent summarization of conversations.
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Voice AI Engineer
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