Aleksey Sinyagin
@alekseysinyagin
Senior engineering leader driving Voice AI, Conversational AI, and large-scale distributed systems.
United StatesWhat I'm looking for
I am a Senior engineering leader with 20+ years delivering enterprise-grade software, research-driven innovation, and scalable SaaS solutions. I blend experience from Microsoft Research through large production organizations to build high-performance, geo-distributed engineering teams.
At Microsoft I lead 300+ engineers building real-time voice, messaging, and omnichannel solutions, driving Speech AI (ASR, TTS, Voice Biometrics) and streaming LLM integrations. Previously I led global engineering orgs at Salesforce and Amazon focused on conversational AI, personalization, and large-scale data infrastructure.
I hold a PhD in Applied Mathematics and a Master in General Management from Harvard; I concentrate on bridging applied research and production, architecting cloud-native microservices, and delivering agentic AI initiatives like Voice Intent Agent and Customer Intent Agent.
Experience
Work history, roles, and key accomplishments
MILeads 300+ engineers across US, EU, and India building real-time voice, messaging, and omnichannel Speech AI services, integrating streaming LLMs for summarization and real-time conversation while overseeing large-scale Kafka-on-Kubernetes infrastructure.
SAOversaw a global engineering organization of ~250 engineers to scale AI-driven CRM products, driving conversational AI and research-to-production integration to deliver enterprise online services.
AMDirected geo-distributed teams for Amazon Digital Books and personalization services, delivering real-time analytics pipelines and ML-based recommendations using large-scale data infrastructure.
Education
Degrees, certifications, and relevant coursework
Ulyanovsk State University
Doctor of Philosophy, Applied Mathematics
PhD in Applied Mathematics from Ulyanovsk State University.
HUHarvard University
Master in Liberal Arts, General Management
Master in Liberal Arts in General Management from Harvard University.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
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