Summary
Russell Martin is a software engineer with 9 years’ experience building distributed systems and ML-driven services, currently focused on integrating STT, TTS, and LLM models into production inference gateways. With a Master's in Computer Science (machine learning and networking) from William & Mary, he has delivered scalable platforms at AWS—authoring inventory/workflow systems and ML anomaly detection across multiple regions—and helped grow teams and ownership from small squads. Comfortable across Java/Kotlin, Python, and cloud-native stacks (ECS, Lambda, CDK, CloudFormation), he blends backend systems design with hands-on automation. Russell’s recent work at LiveKit and a stealth startup shows a shift toward real-time and generative AI infra, pairing research-backed ML knowledge with pragmatic ops experience. A former systems admin and security intern, he brings operational instincts and tool-building chops that help translate complex research models into reliable production services.
9 years of coding experience
10 years of employment as a software developer
High School Advanced Diploma, High School Advanced Diploma at Great Bridge High School
Master's degree Computer Science, Master's degree Computer Science at William & Mary