Summary
Alexander Sukhryn is a Python backend and agentic AI engineer with nearly a decade of experience building production-ready ML systems, GPT-powered agents, and scalable microservice architectures. He has delivered high-accuracy RAG pipelines and real-time agentic workflows that cut manual effort by 70% and produced CV/forecasting solutions saving $200K+ annually. Comfortable across the stack, he combines FastAPI/Django backends, async microservices, Kafka/RabbitMQ messaging, and vector DBs with MLOps practices like Kubeflow and CI/CD to reliably deploy models in production. As a tech lead and mentor based in Kyiv, he balances hands-on engineering with team coaching and one-on-one student mentoring. Notably, his toolset spans both mainstream ML frameworks and niche languages (Clojure, Rust on GitHub), reflecting a pragmatic curiosity for solving performance and infrastructure challenges.
9 years of coding experience
12 years of employment as a software developer
Бакалавр технических наук, Information Technology, Бакалавр технических наук, Information Technology at НУВГП