Mohammed Bobboi is a Software Engineer based in London, England.

He is a Computer Science Graduate from the University of Sheffield with 2+ years of experience in Software Development, AI/ML/GenAI and delivering scalable, business-focused solutions across fintech, startups and R&D environments.

GitHubLinkedIn
My photodoodledoodle

Education

University of Sheffield

University of Sheffield

BSc. Computer Science

Sheffield, United Kingdom

Sept. 2022 — Jun. 2025

Grade: First Class

Selected Highlights:

  • Awarded a distinction for dissertation research on probabilistic bisimulation and Wasserstein-based behavioural distances.
  • Chosen to represent the Computer Science department as a Student Ambassador from a cohort of 3,000+ students.
  • Worked directly with an external company in the COM3420 Software Hut module to develop production-ready software, later being individually selected to continue the project as a summer intern.

INTO Manchester

NCUK International Foundation Year

Manchester, United Kingdom

Sept. 2021 — Jun. 2022

Grade: Mathematics: A*, English: A*, Physics: A & Further Mathematics: B

Selected Highlights:

  • Achieved top 1% performance in Mathematics across the cohort
  • Achieved top 1% performance in English across the cohort
  • Awarded a degree in Science & Engineering
INTO

Experience

Steeze

Steeze

Founder & Chief Technology Officer

London, United Kingdom

Oct. 2025 — Present

  • Founded and led the development of Steeze, a peer-to-peer fashion marketplace designed to make shopping for fashion convenient for buyers and sellers.
  • Built the mobile application using React Native, creating a cross-platform experience focused on usability, performance, and modern UI design — now serving 1,000+ users.
  • Partnered with 20+ fashion businesses to list and sell their products on Steeze, expanding the platform's catalogue and driving seller-side growth.

180 Degrees Consulting

Technology Director

Sheffield, United Kingdom

Oct. 2024 — Jun. 2025

  • Contributed within the world's largest student-led consultancy, operating across 200+ branches globally.
  • Served as the founding Technology Director for the Sheffield branch, contributing to the branch being recognised as the organisation's "Best New Branch".
  • Led development of a client outreach web app, independently building the TypeScript frontend and integrating third-party APIs to identify potential clients, resulting in a 500% increase in client reach.
180DC
AMRC

Advanced Manufacturing Research Centre

Software Engineer Intern

Sheffield, England

Jul. 2024 — Sept. 2024

  • Operated within a world-leading manufacturing research centre collaborating with industry leaders including Boeing, Rolls-Royce and Airbus.
  • Selected as the first student to participate in the centre's inaugural internship programme.
  • Built a full-stack device management web app on Ruby on Rails, following MVC design, PostgreSQL database and HTML & CSS, saving £2,000+ annually on lost devices.

Twikker Fund, USIS

Portfolio Analytics Analyst

Sheffield, United Kingdom

Oct. 2023 — Sept. 2024

  • Worked within Europe's largest student-led investment fund, overseeing more than £250,000 in assets under management.
  • Developed a portfolio analytics dashboard by integrating data from the fund's C# investment platform API to improve visibility into portfolio performance and allocation data.
  • Explored quantitative portfolio optimisation approaches using Modern Portfolio Theory to investigate future allocation strategies and risk-adjusted portfolio balancing.
Twikker Fund

Projects

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Steeze Mobile App

Built With

React NativeReact Native
ExpoExpo
AWS S3AWS S3
SupabaseSupabase
PostgreSQLPostgreSQL
ResendResend
FigmaFigma

Developed a cross-platform mobile application using React Native and Expo, backed by a PostgreSQL database with Supabase as the backend-as-a-service layer, currently supporting over 1,000 users. Designed and translated complex user requirements into an intuitive mobile experience by producing wireframes and UI flows for 26+ screens in Figma, while also integrating AWS S3 object storage via Supabase for secure file handling and Resend for scalable email delivery.

Dissertation

Built With

PythonPython
PytestPytest
TyperTyper
SciPySciPy
NumPyNumPy
StreamlitStreamlit

I was awarded a distinction for my final-year dissertation, which explored probabilistic bisimulation and Wasserstein-based behavioural distances. The project involved interpreting complex mathematical theorems and translating them into a high-performance Python algorithm, leveraging SciPy optimisation techniques to improve computational efficiency by 60–75%. I also developed both a command-line interface using Typer and an interactive GUI with Streamlit to make the system more accessible for simulation and analysis. To ensure reliability and correctness, I designed a comprehensive Pytest testing suite with unit and integration tests, achieving over 90% code coverage while maintaining algorithmic accuracy and UI stability.

Elevator Pitch

Elevator Pitch

Built With

MongoDBMongoDB
Express JSExpress JS
ReactReact
Node JSNode JS
CloudinaryCloudinary
GitHubGitHub
VercelVercel

Elevator Pitch is an open-source video CV platform used by 40+ users, enabling candidates to embed 90-second pitch videos directly into job applications and personal CVs. Built using the MERN stack with Cloudinary-based media storage, supporting seamless video upload, management, and delivery.

Binani Air

Built With

JavaScriptJavaScript
SQLiteSQLite
TrelloTrello
GitHubGitHub

Developed the website for Binani Air, a private jet chartering company, as part of my internship, building a booking-focused platform that now serves over 15,000 weekly visitors. Built the application using JavaScript with an SQLite-backed backend, while collaborating closely with non-technical stakeholders to translate business requirements into an intuitive customer experience. I also used Trello for task tracking and project coordination, helping manage feature delivery and communication throughout development.

Machine Learning Premier League Predictor

Machine Learning Premier League Predictor

Built With

PythonPython
scikit-learnscikit-learn
PandasPandas
JupyterJupyter

Built an end-to-end machine learning pipeline in Python to predict English Premier League match outcomes, processing over a decade of historical data covering 3,800+ matches to train and evaluate the model. Implemented a Random Forest Classifier using scikit-learn, leveraging 25+ engineered features to classify match results, achieving a cross-validated accuracy of 62%. Improved predictive performance by engineering rolling-window features (5- and 10-match averages of team statistics such as goals and shots), increasing precision from 47% to 67.5%.

MMXX Dynamics Wellness

Built With

Next JSNext JS
AWS CognitoAWS Cognito
Google OAuthGoogle OAuth
JiraJira
BitbucketBitbucket
DockerDocker

Built and shipped frontend features for a wellness booking platform using Next.js, contributing across the full feature lifecycle from design and implementation to deployment within a four-person Agile team serving 60+ active customers. Implemented Google OAuth authentication with AWS Cognito, significantly improving account verification reliability while reducing manual onboarding issues and support intervention by an estimated 70–80%. Worked within bi-weekly Agile sprints, consistently managing and delivering 10+ Jira tickets per sprint in collaboration with designers and developers.

Wakamate — Get vetted artisans

Built With

Google PlayGoogle Play
App StoreApp Store
React NativeReact Native
ExpoExpo
XcodeXcode
SupabaseSupabase
Next JSNext JS

Built Wakamate, a mobile-first “Uber for artisans” platform in Nigeria connecting users with vetted service providers such as cleaners, plumbers, and tilers to improve access and trust in home and office services. Developed the cross-platform mobile application using React Native (Expo) with Supabase as the backend, implementing secure authentication flows including Google OAuth and Sign in with Apple, alongside SMS verification via Termii. Built a Next.js landing page to support product rollout and early user acquisition, with initial traction of 20+ onboarded artisans.

More Projects on GitHub

Professional Certifications

Skills

Frontend

JavaScriptJavaScript
JavaScriptProgramming Language
TypeScriptTypeScript
TypeScriptProgramming Language
HTML & CSSHTML & CSS
HTML & CSSMarkup & Styling
KotlinKotlin
KotlinProgramming Language
Next.jsNext.js
Next.jsWeb Framework
React NativeReact Native
React NativeMobile Framework
ExpoExpo
ExpoMobile Platform
StreamlitStreamlit
StreamlitWeb App Framework
FigmaFigma
FigmaDesign Tool

Backend

PythonPython
PythonProgramming Language
JavaJava
JavaProgramming Language
Ruby on RailsRuby on Rails
Ruby on RailsWeb Framework
Node.jsNode.js
Node.jsJavaScript Runtime
ExpressExpress
ExpressWeb Framework
TyperTyper
TyperCLI Library
MongoDBMongoDB
MongoDBDatabase
PostgreSQLPostgreSQL
PostgreSQLDatabase
SQLiteSQLite
SQLiteDatabase
SupabaseSupabase
SupabaseBackend-as-a-Service

Cloud & DevOps

AWS S3AWS S3
AWS S3Cloud Storage
CognitoCognito
CognitoAuthentication Service
DockerDocker
DockerContainerisation
VercelVercel
VercelHosting Platform
CloudinaryCloudinary
CloudinaryMedia Platform
ResendResend
ResendEmail API
Google OAuthGoogle OAuth
Google OAuthAuthentication

Data & Tools

PytestPytest
PytestTesting Framework
JupyterJupyter
JupyterNotebook Environment
NumPyNumPy
NumPyNumerical Library
PandasPandas
PandasData Analysis Library
scikit-learnscikit-learn
scikit-learnMachine Learning Library
SciPySciPy
SciPyScientific Library
GitHubGitHub
GitHubVersion Control
BitbucketBitbucket
BitbucketVersion Control
XcodeXcode
XcodeiOS IDE