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Experience & CV

Mehmet Özel

Data Science and AI student · AI applications · Technical writing

Second-year BSc (Hons) Data Science and Artificial Intelligence student at Bournemouth University, with AWS certification and software internship experience. I build AI applications and documented ML experiments using AI-assisted tools, alongside Python-based analysis and English-language technical writing.

Education

Bournemouth University

BSc (Hons) Data Science and Artificial Intelligence

In progress · second year
  • Practical ML work includes data preparation, regression and model evaluation, with participant-level train/test separation and training-only preprocessing on a synthetic longitudinal dataset.

Artificial Intelligence summer programme

Immerse Education, Cambridge · two weeks

FMV Ayazağa Işık High School

Istanbul

2020 – 2025

Competition

AWS DeepRacer Student League — team third place

MOD Corsham · with Bournemouth University

  • Held technical responsibility for the team’s vehicle and gained practical experience with reinforcement learning (RL).

Experience

Independent technical writer and editor

Medium publications

2025 – present
  • Write English-language AI and software analysis for Data Science Collective, Towards AI and Level Up Coding; publication editing experience with Technology Core.
  • Examine research claims and experimental limits using primary sources, combining AI-assisted research and drafting with editorial review.

Software intern

SNI

  • Supported a Java development team in an SAP-based software environment, contributing to small development tasks and following team development processes.

Certifications Selected certifications and training

  • AWS Certified Solutions Architect – Associate2026
  • AWS Certified AI Practitioner2026
  • Machine Learning SpecializationStanford Online & DeepLearning.AI, Coursera · all three courses completed
    2025
  • 2026

Selected projects Personal projects, built with AI-assisted development.

Prompt Compiler

A tool that turns natural-language requests into structured prompts, execution plans and policy checks, with an offline, deterministic core.

  • Python
  • FastAPI
  • React
  • Next.js
  • TypeScript
How it works

SpacingLab

Laptop-scale GPT-2 fine-tuning experiments on repetition timing and selective replay, with matched training budgets, several random seeds and documented negative findings.

  • Python
  • PyTorch
  • GPT-2
Read the study

NeurIQ

A learning workspace that combines course-material uploads, quizzes, spaced-repetition flashcards, AI tutoring, Feynman-style explanations and knowledge maps.

  • React
  • Node.js
  • PostgreSQL
  • Prisma
  • FastAPI
Explore NeurIQ

VibeGraph

Turns Python, JavaScript and TypeScript code into interactive call graphs, with function-level AI explanations and contextual code chat.

  • Python
  • FastAPI
  • React
  • tree-sitter
Read the case study

ScrubLab

An offline machine learning playground for macOS with guided tasks for exploring datasets, visualising relationships and comparing models.

  • SwiftUI
  • Swift Charts
  • Python
  • scikit-learn
In development · private repository

Technical skills

Data and machine learning
Python, pandas, NumPy, scikit-learn, PyTorch, Jupyter; exploratory analysis, regression, classification and train/test validation.
Project technologies
JavaScript/TypeScript, React, FastAPI, Node.js, PostgreSQL, Prisma, SwiftUI; Java internship experience.
Development workflow
Git, GitHub, automated tests, Docker and CI workflows; AI coding tools including Codex, Claude Code and Cursor.
Research and communication
Primary-source research, experiment documentation, technical editing, data visualisation and English-language articles.

Selected writing

Languages

  • TurkishNative
  • EnglishAcademic study and technical writing

Contact

mehmet.ozel2701@gmail.comGitHub LinkedIn Medium