Andrew Kim
Real‑Time Media & Distributed Systems Engineer @ Microsoft Teams | Large‑Scale Live Events & Streaming | AI‑Enabled Real‑Time Interaction | Low‑Latency Systems | Azure • Kubernetes
- Role
- Software Engineer Ii Microsoft Teams (Real Time Media & Distributed Systems) at Microsoft
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Andrew Kim
I’m a Distributed Systems and Real‑Time Media Engineer working on mission‑critical communication services for Microsoft Teams, where low latency, reliability, and scale are core requirements.I contribute to the Teams real‑time media ecosystem, spanning live meetings, large‑scale broadcasts, streaming ingestion, and media platform infrastructure that supports hundreds of millions of users worldwide.Part of my work involves building AI‑enabled real‑time meeting workflows, where AI inference is integrated directly into live audio pipelines to support real‑time interaction and interpretation, while meeting strict latency and production reliability constraints.I’ve also worked extensively on non‑AI, high‑visibility media systems, including large‑scale live events and external streaming ingestion, supporting events with up to attendees per event and 15–50 concurrent events per tenant.I’m most interested in distributed systems, real‑time media platforms, and resilient cloud infrastructure—especially systems that must operate continuously under tight performance budgets.
Experience
Software Engineer Ii Microsoft Teams (Real Time Media & Distributed Systems)
Sep 2022 — Present · Redmond, WA, US
Build and operate mission‑critical, low‑latency distributed systems in the Microsoft Teams real‑time media stack.• Shipped AI‑enabled real‑time meeting workflows, integrating speech recognition, translation, and synthesis directly into live audio pipelines with production‑grade reliability.• Built interactive meeting workflows that ingest real‑time signals (audio, chat, roster, hand‑raise) and respond via voice, chat, or in‑meeting actions under ~150ms conversational latency targets.• Worked on the foundational real‑time media platform supporting ingestion, routing, composition, and processing across Teams scenarios, operating under sub‑10ms execution constraints.• Supported large‑scale live broadcast systems handling up to attendees per event and 15–50 concurrent events per tenant, with a focus on resilience and autoscaling.• Improved reliability of external streaming ingestion (e.g, RTMP‑based workflows) into Teams’ real‑time media pipeline.
Education
Coding Dojo
Completed
2016 — 2017
University of Washington Tacoma
Undergrad, Computer Science
2015 — 2019
Skills
- Asp.net Mvc
- Node.js
- Javascript
- Web Development
- C#
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