[BESMALA]
AI & DATA SCIENCE / PERSONAL SYSTEM

BESMALA / 00—01

I study what makes
intelligence possible.

I’m Besmala, an AI & Data Science Master's student with a Computer Science background, hands-on with web development and UI design. I build machine-learning systems and visual explanations while exploring how neural networks, language models, GPUs, and CPUs work—and how to make models useful and understandable to people.

“I don't just use AI.
I like understanding
what happens underneath.”
SCROLL TO EXPLORE

Curiosity is my
starting point.

CURIOUS BY DESIGN
Available for meaningful problems.
FOCUSAI & Data Science
BACKGROUNDComputer Science
INTERESTIntelligent systems
NEXTResearch · ML engineering

A toolkit for asking better questions, testing them, and shipping the answer.

SYSTEM MAP / 03 MODULES

Built to move
across layers.

01 / INTELLIGENCE

Machine learning

PythonPyTorchTensorFlow / Kerasscikit-learnFeature selectionSVM · Random Forest · XGBoostPCA & data analysis
01
02 / PERCEPTION

Deep learning

Computer visionCNN architecturesMedical imagingNLP & NERModel evaluationExplainable MLManim visualizations
02
03 / SHIP

Software systems

React · ViteNode.js · ExpressPrismaMongoDB · PostgreSQLDockerGit & GitHubFull-stack prototyping
03
03 SIGNALS IN THE LOG
01 / 03 LIVE CASE STUDY
COMPUTER VISION / HEALTH AI

MedScan AI

Lung disease classification, designed around clarity and clinical context.

An AI-driven platform that turns chest imaging into a structured classification workflow. The project is grounded in careful preprocessing, CNN experimentation, and evaluation that stays legible to the person reading the result.

TensorFlow / KerasCNNMedical imaging
06 BATCHES · 11 STUDY SHEETS
FROM FOUNDATIONS TO AI ENGINEERING

A clearer map of AI systems.

Six connected batches of study notes, diagrams, code, worked examples, exercises, and quizzes—from machine-learning foundations to agents, evaluation, and research papers.

Six batchesEleven study sheetsSearchable lessons
Open the AI Learning Lab
Source diagram from the Machine Learning Fundamentals study sheet
SUPPLIED VISUAL WORK

Interfaces, in context.

A visual archive of supplied UI mockups. Project details are labelled only where the source material supports them.

Foodie Finder mobile discovery screen supplied by the owner

02 / MOBILE PRODUCT CONCEPT

Foodie Finder

Smart House Controller climate-control UI mockup supplied by the owner

03 / SMART HOME CONCEPT

Climate controls

Open the UI/UX gallery
NOW / 2024 — PRESENT

Master’s in AI & Data Science

Deepening the theory and practice behind intelligent systems, with a focus on machine learning, deep learning, and data-informed problem solving.

FOUNDATION / COMPUTER SCIENCE

Computer Science background

Systems thinking, software engineering, algorithms, and the practical habits that make technical ideas implementable.

CONTINUOUS / SELF-DIRECTED

Research through making

Building visual explanations, experiments, and full-stack prototypes to turn complex ideas into things people can inspect.

Let’s make the
next question
interesting.

For internships, research opportunities, Master's conversations, or a technical problem worth exploring—send a signal.

TRANSMISSION FORM / 01 Ready to connect

No noisy newsletter. No automated funnel. Just a direct line.