Aleksey Gurzhiev
Technical Product Manager & Product Architect & Analyst
FinTech · Trading Systems · High-Load · Event-Driven
About
I am a Technical Product Manager and Product Architect with 15+ years of engineering background (Java, Scala, C++, Python), including the last 5 years focused on FinTech, algorithmic trading platforms, and high-load B2B systems where reliability, low latency, and data integrity are non-negotiable.
My career follows a natural progression - from Developer to Team Lead, Project Manager, and finally Technical PM. Unlike traditional Product Managers, I don't just manage backlogs; I understand system constraints at the architecture level and translate complex brokerage requirements into precise technical specifications. I combine product leadership with hands-on business and systems analysis.
I have hands-on experience architecting low-latency trading ecosystems, event-driven microservices, and high-load B2B platforms. I work daily with Kafka, Kubernetes, Spring Cloud, ClickHouse, and Python, and I integrate AI/LLM tooling into product workflows with a security-conscious approach. In 2023, I published a book on Big Data and Machine Learning for executives.
Core Expertise
Trading Systems
Algorithmic trading, order books, matching engines, market data ingestion, risk management. Front-office trading infrastructure.
Architecture & Tech
Event-driven architecture, microservices, Kafka, Kubernetes, Spring Cloud, low-latency systems designed to scale.
Data & AI
Spark, machine learning (TensorFlow/PyTorch), LLM tooling (Claude Code, Cursor, local LLMs via Ollama), SQL, Python.
Business & Systems Analysis
Requirements analysis and documentation, user stories, acceptance criteria, gap analysis, process mapping. Bridging business and engineering.
AI & ML Product Integration
Integrating LLMs and ML models into product workflows. Requirements analysis, documentation, prototyping with Claude Code, Cursor, and local LLMs via Ollama. Security-conscious AI adoption.
FinTech Domain Expertise
Forex/CFD brokerage ecosystem: trading platforms, client area, back office, CRM, payment integrations, and KYC/onboarding flows.
Book
Big Data, Digital Transformation & Machine Learning for Business Owners and Executives
Currently available in Russian · 2023
A practical guide for decision‑makers, explaining complex tech in simple terms. Written to help leaders understand how to invest in data without diving into code.
View on Litres