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01 Portfolio
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Hello, I'm Aleksandr

Lead Product Manager, AI Platforms & Agents: hands-on across agents, RAG, MCP, and production Python

Based In Limassol, Cyprus
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Open to Select Opportunities
I'm open to conversations about senior product and product-engineering roles in applied AI: agent platforms, developer tools, and model evaluation. Collaborations and professional advice are always welcome. Based in Cyprus, open to relocation for the right opportunity.
02 / SKILLS

The craft, earned.

01 SKILLS

Artificial Intelligence

LLM engineering across retrieval-augmented generation with vector and hybrid search, agent and retrieval orchestration on LangChain and LangGraph, Model Context Protocol tooling, production retrieval telemetry, and evaluation-driven delivery of production AI systems.

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02 SKILLS

Model Context Protocol

MCP end to end — servers published to PyPI and the official registry, clients wired into agent runtimes across four transports, an authenticated gateway in front of internal servers, and protocol-level defects taken upstream, most of them since fixed and released.

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03 SKILLS

Python

Production Python for AI systems — async FastAPI and FastMCP services, LangChain and LangGraph retrieval pipelines, tested with pytest and shipped through automated release and deployment pipelines.

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04 SKILLS

Claude Code

Professional-grade command of Claude Code — orchestrators, subagents, dynamic workflows, hooks, skills, slash commands, MCP, and context engineering — applied to production multi-agent development environments.

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05 SKILLS

AI Product Management

AI products taken from problem selection to adopted production systems — a measurable quality bar set up front, evaluation run before wide release, platform framing that compounds, and outcomes stated in numbers the products themselves published.

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06 SKILLS

LLM Engineering

Building LLM systems that survive production — structured output, per-stage fallback and retry ladders, model tiering by task, tracing wired into the serving path, and a measured quality bar before anything ships wide.

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Explore All Skills →
03 / HOW I BUILD

The method, stated.

I turn frontier AI capabilities into reliable products and reusable platforms.

  1. Product ownership

    I start with the problem: users, constraints, success criteria, and the adoption path — before any code.

  2. Platform thinking

    I build reusable capabilities — retrieval, gateways, agent runtimes — rather than isolated AI demos.

  3. AI-native engineering

    Coding agents multiply my implementation speed; architecture, review, and accountability for outcomes stay mine.

  4. Evaluation and verification

    I define invariants, regression tests, and quality gates before trusting model or system behavior.

  5. Production and adoption

    A system counts when it is deployed, observed, supported, and measurably used.

04 / GITHUB

The work, in public.

2.8k commits, 894 merged pull requests, 24 external repositories, 15 organizations, 84 active days in the last 90 — plus 10,797 private contributions not shown — every number here is a floor, not a ceiling

8,921 contributions last 12 months

  • Python 80.7%
  • HTML 8.7%
  • JavaScript 7.9%
  • Shell 0.8%
  • Batchfile 0.5%
  • Go 0.4%
  • HCL 0.4%
  • TypeScript 0.2%

on GitHub

05 / EXPERIENCE

Where the work lived.

— Present
AI Product Manager

operating as AI Product & Platform Lead

Spotware Systems
Owning a platform-first applied AI portfolio at Spotware Systems — an LLM gateway, an MCP gateway, shared retrieval, agent tooling — and the adoption that makes it count.
Full-time Limassol, Cyprus
— Present
Maintainer

operating as Authorization & MCP Proxy Contributor

ToolHive (Stacklok)
Maintaining ToolHive, Stacklok's open-source MCP platform: reviewing and triaging changes in the areas a production MCP gateway depends on, and taking defects found in real use upstream, with a fix wherever I can write one.
Open source Remote
Explore All Experience →
06 / PROJECTS

Projects, released.

01 Enterprise AI Platforms

AIR API — AI Retrieval API

An AI-driven retrieval platform that serves grounded answers from corporate knowledge sources (Help Centre + cTrader Admin Guide) to any AI assistant, support automation, or team workflow inside Spotware — through a REST API and a standards-compliant MCP server, with automatic twice-daily content refresh.

Active — Present
02 Enterprise AI Platforms

Claude Code Gateway

The corporate LLM gateway between every engineer's coding agent and the upstream model providers: provider routing and failover across multiple AI labs, per-user request, token, and cost accounting at API prices, an authenticated admin surface with usage analytics, and centrally administered usage governance — rebuilt from an open-source foundation into a corporate-grade service.

Active — Present
03 Applied AI Products

AILA — AI Localisation Assistant

An AI-powered localization system built at Spotware that combines approved terminology and translation memory with strong AI models to deliver fast, high-quality, on-brand translations at scale, dramatically improving time-to-market for localization across regions.

Active — Present
04 Open Source & Experiments

MCP Context Server

A high-performance Model Context Protocol server that gives LLM agents a durable, searchable memory layer beyond the context window. Thread-scoped storage over SQLite or PostgreSQL, with semantic, full-text, and hybrid search, cross-encoder reranking, pluggable embedding and summary providers, metadata filtering, and batch operations — all behind a standard MCP interface.

Active — Present
Explore All Projects →
07 / CERTIFICATIONS

The papers, stamped.

01 CERT
Build Small Hackathon 2026

Build Small Hackathon 2026

Certificate of participation in Build Small, a Hugging Face × Gradio hackathon celebrating small, local, open-weight models — building real, tinkerable apps powered entirely by models under 32B parameters.

Hugging Face Jun 2026
02 CERT
Professional Scrum Master I (PSM I)

Professional Scrum Master I (PSM I)

The certification validates my knowledge of the Scrum framework, the Scrum Master accountabilities and how to apply Scrum.

Scrum.org Feb 2023
03 CERT
Develop Your Skills as a Software Project Manager

Develop Your Skills as a Software Project Manager

A validation of acquiring in-depth knowledge and practical skills in managing software projects, focusing on Agile and Scrum methodologies, risk assessment, team collaboration, and effective communication.

LinkedIn Learning Dec 2023
04 CERT
Atlassian Agile Project Management Professional Certificate

Atlassian Agile Project Management Professional Certificate

A comprehensive certification validating expertise in Agile project management principles and proficiency in Atlassian tools for effective project execution.

LinkedIn Learning and Atlassian Jan 2024
Explore All Certifications →
08 / LATEST POSTS

Notes, in long form.

Agent Experience: Preparing Your Site for Its Second Reader
Artificial Intelligence

Agent Experience: Preparing Your Site for Its Second Reader

Every page on your site is two documents: the one a browser renders for people and the one a parser reads. AI agents read the second one. Here is what I learned making this site legible to them -- and what a machine reader finds on the personal sites of eight of the best-known people in AI, from a hidden Order of the Unicorn to a robots.txt that redirects into itself forever.

Agent Experience Artificial Intelligence Agents
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Dynamic Workflows: When the Agent Writes Its Own Harness
Artificial Intelligence

Dynamic Workflows: When the Agent Writes Its Own Harness

For a few weeks now, Claude Code has been writing its own multi-agent harness for each task -- and it quietly retired the orchestration code I used to maintain by hand. Here is what changed, the patterns worth knowing, and the research idea I think sits underneath it.

Claude Code Dynamic Workflows Multi-Agent Systems
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MCP Context Server: Persistent Memory for Your AI Coding Agents
Artificial Intelligence

MCP Context Server: Persistent Memory for Your AI Coding Agents

Your AI coding agent loses its plan every time the context window compacts. MCP Context Server fixes that with persistent, searchable memory -- one Docker command and your agents remember everything.

Context Engineering Model Context Protocol (MCP) Agents
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