London, UK — BEng (Hons) Software Engineering, First-Class

Hi, I'm Shenita.

A First-Class Software Engineering graduate moving into product management. I build things end to end — from a discrete-time Python simulator to a Kotlin desktop app — and I'm most interested in the decisions behind them: what to build, in what order, and on what evidence.

See my workConnect on LinkedIn
Shenita Rose in graduation cap and gown outside the Old Royal Naval College, Greenwich

BEng (Hons) Software Engineering, First-Class — University of Greenwich, 2026

01 — About

Psychology, then a career switch, then code.

I moved to London in 2019 to study Psychology, fairly certain that software wasn't for me. Watching my partner — a senior developer — build things out of nothing but curiosity changed that. I completed a certified course with SheCodes, then kept going self-taught through freeCodeCamp.

That path led to a BEng (Hons) Software Engineering at the University of Greenwich, where I graduated First-Class in 2026 — my final-year research on agile sprint dynamics scored 79%. Along the way I've found that the part I enjoy most isn't just writing the code — it's the decisions behind it: what to build, for whom, and why. That's what's pulling me toward Product Management next.

  • 2019Moved to London to study Psychology.
  • 2020–21Completed a certified coding course with SheCodes.
  • 2022Self-taught the fundamentals further through freeCodeCamp.
  • 2023Started BEng (Hons) Software Engineering, University of Greenwich.
  • 2026Graduated First-Class Honours — now aiming toward Product Management.
02 — Selected Work

Two builds, two very different languages.

Researcher & Developer · Final-Year Project · Sep 2025 – Jun 2026

Agile Dynamics Simulator

Making agile sprint risk visible, one Monte Carlo run at a time.

  • Built a Python simulation modelling how changes in team capacity and risk events affect sprint delivery, running 20 scenarios across 1,000 Monte Carlo simulated sprints.
  • Found risk level cut sprint completion by 18 percentage points (100%→82%), while capacity variation had negligible independent effect.
  • Translated findings into recommendations for 2-week sprint cadences, prioritising risk mitigation over capacity buffering, and probabilistic (P10/P50/P90) sprint forecasting.
  • Benchmarked Jira against SimSE across five criteria, showing neither tool models risk the way real teams need to plan sprints.
PythonFastAPIReactMonte Carlo
View repository ↗
Lead Developer · Team Project · Nov 2025 – Dec 2025

Event Planner

A layered Kotlin desktop app for planning events under pressure.

  • Built a Kotlin/JavaFX event planner with layered architecture (model, store, service, UI) and validation at three levels.
  • Stepped up as lead developer, delivering the domain layer, persistence, and full event workflows on a 4-person team.
  • Used shared repositories and UI callbacks to keep venue, event, and registration views synced in real time.
  • Managed version control and task tracking (Azure DevOps, Git, Kanban) for the team.
KotlinJavaFXAzure DevOps
View repository ↗
03 — Skills

What I bring to the table.

  • Product & DeliveryRequirements gathering, user stories, scope definition, backlog prioritisation, stakeholder communication, Agile/Scrum, sprint planning, risk management
  • Data & AnalysisPython, experiment design, data analysis
  • ToolsJira, Trello, Notion, Monday.com, Slack, GitHub, Vercel, Figma
  • EngineeringPython, JavaScript, HTML, CSS, Next.js, Tailwind CSS, Bootstrap, Axios, FastAPI, REST APIs, React, TypeScript (Vite)

National Youth Award & Humanitarian Award, HALO Foundation and Government of Antigua and Barbuda (2018) — and outside of work: AI, language learning, travel, film and photography.

Open to Product Management roles in London.

Let's talk on LinkedIn