Summary
Anton Plotnikov is an ML & Data Engineer with 13 years of engineering experience who blends deep web development roots with modern ML-in-production expertise. He has built end-to-end data and inference platforms—from batch pipelines to real-time TTS/LLM serving—focusing on Kubernetes-based, cost-efficient, observable systems using tools like Triton, vLLM, DVC and Prometheus. Prior roles span founding ML infrastructure at a stealth startup, senior engineering at Shopify and Accenture, and hands-on backend/frontend work across Python, Go, Node.js and React, with strong database and messaging experience (Postgres, Mongo, Redis, RabbitMQ). He is comfortable across the stack and the cloud, shipping reproducible CI/CD-driven deployments and optimizing performance for real workloads. Trained as a physicist (M.Sc. in Nanoelectronics), Anton brings a data-driven, analytical mindset to system design and a long history of pragmatic product-focused engineering.
13 years of coding experience
18 years of employment as a software developer
M.Sc. Physics, Nanoelectronics, M.Sc. Physics, Nanoelectronics at Novosibirsk State Technical University (NSTU)
M.Sc. Physics, Nanoelectronics, M.Sc. Physics, Nanoelectronics at Institute Semiconductor Physics
Russian, English