Vladyslav Prutskov

Delivered 27 production-grade projects spanning decentralized AI, DeFi infrastructure, algorithmic trading systems, and full-stack AI applications, taking end-to-end ownership of architecture, implementation, testing, and cloud deployment. Engineered decentralized AI solutions on Bittensor and built production AI SaaS platforms, applying a strong systems and QA mindset to identify and resolve crit

Architected and delivered enterprise AI platforms supporting machine learning, LLM applications, and large-scale data workflows, enabling secure and scalable model development from experimentation to production. Built distributed data pipelines, REST/GraphQL APIs, and cloud-native microservices, improving model deployment, MLOps automation, and platform reliability.

Developed AI-powered engineering platforms and distributed cloud services using Python, C++, and Kubernetes, delivering scalable solutions for computationally intensive workloads. Optimized high-performance data pipelines and machine learning infrastructure, reducing simulation time and improving reliability through parallel processing, caching, and cloud-native architecture.

Designed and maintained distributed cloud services, building idempotent, horizontally scalable APIs that reliably handled millions of transactional requests. Implemented resilient retry, queueing, and backpressure mechanisms to improve system reliability, fault tolerance, and service availability under peak load.

Activities and societies: University researcher

Pursued a Bachelor of Science in Computer Science, admitted on merit. Gained research experience as a university researcher.