Email signature generator
Built with Claude Code, simplified and standardised the adoption of the branded signature, delivered through a user-friendly application.
Marketing and Technology Leader, exploring where creativity, curiosity, and AI meet.


Aleksandra works across marketing strategy, brand, and events, with a growing focus on where technology and digital tools fit into that mix, at Expert Technologies Group.
University of Warwick. Final mark: 2:1.
Joined Expert Technologies Group in Coventry.
Progressed from the internship into her current role.
Aleksandra is genuinely curious about how far AI can push marketing itself, not just content creation, but automation, reporting, and the effectiveness of strategy more broadly. That’s pushed her beyond chat-based AI tools and into IDE and CLI environments.
Built with Claude Code, simplified and standardised the adoption of the branded signature, delivered through a user-friendly application.
Built and deployed a landing and portfolio page for a freelancer using Claude Code, Vercel, and Supabase.
Built a tool to manage post-event lead allocation, using Claude Code.
Built for marketing roles in fintech, SaaS, and tech.
MVP / 90% COMPLETE
Automatic matching uses your location, seniority, sector, keywords, and sponsorship needs.
AI uses your CV and interview notes to rate role fit and sponsorship likelihood.
Use the AI CV writer and job application tracker without leaving the workspace.
Now working with context engineering: structuring markdown documentation so an AI agent understands a project properly before building anything.
Started with chatbot-based AI and prompt engineering, learning how to ask well and structure requests to get useful output.
Moved into coding environments, working through an IDE rather than a chat window.
Now working with context engineering: structuring markdown documentation so an AI agent understands a project properly before building anything.
Exploring MCP (Model Context Protocol) to connect projects directly to other tools, like Figma, enabling more automation and a higher standard of output across the workflow.
Testing how structured data changes an AI agent’s answers, comparing plain documentation against structured formats like YAML.
Separating instructions from context: keeping “how the agent should behave” clearly apart from “what it needs to know.”
Building a knowledge graph in Neo4j, mapping how a project's information actually connects, and having an agent query it directly rather than reading full documents.
Chaining that together into multi-step tasks: querying, summarising, and drafting in sequence.
Takes real ownership of projects, planning thoroughly and adapting as priorities shift.
Brings an outsider eye to engineering content, helping keep specialist material understandable for non-specialist audiences.
Takes feedback well, and treats it as part of getting to a better outcome rather than a personal steer to defend against.

Built a TikTok account with 1.2 million likes, with multiple videos passing 3 million views.
Travels and shoots regularly. At Warwick Photography Society, served as Vice President and Social Media Manager, and taught members Lightroom.
A sustained interest that started with gaming hardware and has grown into following the semiconductor and AI infrastructure space more broadly, through books like Chip War and Power Play.
As Head of Marketing for Warwick Russian-Speaking Society, ran content strategy, analytics, event promotion, and engagement workshops.