Generative AI & Machine Learning
Agentic systems, MCPs, hybrid RAG, fine-tuning, reinforcement learning, neuroevolution
Software Engineer | Ruby/Python/Java/Clojure, Generative AI, Algo Trading, Event Sourcing/CQRS/DDD, Computer Vision, Real-time Systems, Modern UI
15+ years building complex, high-performance systems across Generative AI, computer vision, algorithmic trading, fintech/DeFi, and real-time platforms.
esshka@gmail.com • 100% Job Success Score on Upwork
Agentic systems, MCPs, hybrid RAG, fine-tuning, reinforcement learning, neuroevolution
Market making, low-latency execution, streaming data, exchange integrations
EDA, CQRS, event sourcing, DDD, hexagonal and clean architecture
React, Svelte, Next.js, state architecture, Canvas/WebGL, SSR
Event-driven architecture, bounded contexts, resilience, scalability, and delivery risks.
Agentic systems, advanced RAG, computer vision, and production inference pipelines.
Ruby on Rails, Python/FastAPI, TypeScript, React, Svelte, Java, and Clojure systems.
Execution engines, risk systems, market data distribution, and strategy research.
Built custom agentic pipelines and production RAG systems combining vector search with knowledge graphs.
Engineered market-making and event-sourced trading infrastructure in Java, Clojure, and Python.
Owned core architecture for a 500k+ LOC real-time PWA with heavy backend logic.
Shipped signaling, TURN/STUN, presence, and Blue/Green deployment pipelines.