Data science, AI, Software

Taofik Muhriz — Data Science & Software

I’m a data scientist with an MSc from NMBU. I build machine-learning models, data tools and websites, from exploring the problem to delivering the product.

Floating 3D illustrated head of Taofik Muhriz
Introduction

What I’ve
been working on.

Research from my studies, projects for clients, and a few things I’m building for myself.

Master’s thesisCompleted

Predicting mucus plugs from lung CT scans

Problem
Explore whether lung CT scans can be used to estimate mucus plug burden.
My contribution
Built the image-processing and modelling pipeline, compared CNNs using fivefold cross-validation, and evaluated predictions at patient level.
Outcome
Completed the thesis with an A, examining data leakage, uncertainty and generalisation.
Publication
Preparing a paper for submission to a suitable conference.
  • Python
  • PyTorch
  • Computer vision
  • Research
  • Cross-validation
  • Data pipelines
  • Model evaluation
Read case study
AI-generated illustration of Lung CT images
Personal projectIn progress

Personal Performance Intelligence

Purpose
Bring my training, nutrition and tennis records together for analysis.
Implemented
Strava activity sync, Lifesum imports, tennis records, authenticated access and reports traceable to their source.
In progress
Developing the analysis and handling missing data.
  • Next.js
  • PostgreSQL
  • Python
  • Supabase
  • API integration
  • Authentication
Read case study
Overview design — training, nutrition and tennis in one place.
Client workCompleted

AL-TAWFIQ Trading Group

Purpose
Present the company’s information in English and Arabic.
My contribution
Built the website with layouts that work in both reading directions.
Delivered
The public website is live.
  • Next.js
  • TypeScript
  • Arabic / English
  • Client collaboration
  • Responsive design
  • RTL layouts
Read case study
Data analysisCompleted

Energy & weather insights

Purpose
Explore energy production, consumption and weather across Norway’s five electricity price areas.
My contribution
Built a Next.js and FastAPI dashboard with Elhub and Open-Meteo data, weather-adjusted demand studies and forecast evaluation.
Delivered
Completed the dashboard with demand profiles, anomaly studies and forecast reliability views. The public application is live.
  • Next.js
  • FastAPI
  • Python
  • Time series
  • Statistical modelling
  • Forecast evaluation
  • Visualisation
  • Data validation
Energy overview across Norway’s regions
Client workCompleted

Morrise Marine Service

Purpose
Organise a maritime company’s information and services into clear pages.
My contribution
Built the website, including page layout and navigation.
Delivered
The website is complete.
  • React
  • Next.js
  • TypeScript
  • Web development
  • Information architecture
  • Responsive design
Read case study
Completed maritime client website
Personal project · AI engineeringIn progress

Runveil

Purpose
Build the infrastructure to run AI agents with controlled tools, inspectable execution history and reproducible evaluation.
My contribution
Built the core agent runtime, PostgreSQL persistence, model integrations, controlled repository tools and an offline worker with checkpoint recovery.
Planned outcome
A software-engineering agent that investigates repository tasks, makes isolated changes, runs tests and presents patches for human approval.
In progress
Developing execution limits and recovery, with human approvals, a trace interface and evaluation planned.
  • Python
  • FastAPI
  • PostgreSQL
  • Next.js
  • TypeScript
  • AI agent runtimes
  • Tool authorization
  • Durable execution
Read case study
Report automationCompleted

Automated KPI reporting

Purpose
Replace a manual process for preparing KPI status reports.
My contribution
Built an LLM workflow, defined KPIs, prompts and input rules, and checked the output for consistency and clarity.
  • LLMs
  • Automation
  • Reporting
  • Prompt design
  • Information extraction
  • Quality assurance
Read case study
Predictive modellingCompleted

Liver cirrhosis risk modelling

Purpose
Explore liver cirrhosis risk using structured patient data.
My contribution
Cleaned the data, engineered features, and developed and evaluated predictive models.
  • Patient data
  • Feature engineering
  • Statistical modelling
  • Model evaluation
  • Data cleaning
  • Predictive modelling
Read case study
Academic team projectCompleted

Digital strategy for Cryos International

Team recommendation
More standardised processes and better integrated systems, weighing cost, risk and scalability.
My contribution
Coordination, quality checks and presentation of the recommendations.
Outcome
The team project received an A.
  • Business Analytics
  • Enterprise architecture
  • Process improvement
  • Teamwork
  • Digital maturity assessment
  • Systems integration
  • Stakeholder communication
Read case study

A little
about me.

I’m 24, based in Fredrikstad, and I enjoy turning data into insight that people can use. I’m happiest working on a product from end to end: understanding the question, exploring the data, building the solution, and following it through to a finished product.

My projects range from analysing lung CT scans to building websites for clients. I like getting into the technical details and talking with the people I’m building for. Those conversations help me work out what matters, make better choices, and improve the result as I go.

Get to know me

My background

I completed a five-year MSc in Data Science at NMBU (2021–2026), specialising in Business Analytics. Alongside my studies, work in healthcare and hospitality taught me to collaborate, communicate clearly, and stay calm when things get busy.

My skills

  • Data analysis & statisticsPython, pandas, NumPy and R for exploring data, regression and statistical modelling. I turn findings into clear insights, with attention to data quality and uncertainty.
  • Machine learning & computer visionPyTorch, scikit-learn and OpenCV for predictive modelling, deep learning and image analysis. My work includes feature engineering, model training and optimisation.
  • Model evaluation & researchCross-validation, model comparison and error analysis. I assess reliability and generalisation, and communicate methods, findings and limitations clearly.
  • Time series, dashboards & reportingTime series analysis, forecasting and interactive Streamlit dashboards. I also design and build custom dashboard interfaces with Next.js, as in my Norwegian energy project. I work with trends, seasonal patterns and KPI reporting, and have basic Power BI knowledge.
  • Data engineering & integrationsPython and SQL for data pipelines, ETL and API integrations. I connect information from different sources and prepare reliable data for analysis and reporting.
  • Databases & data modellingPostgreSQL and Supabase for database design, data modelling and access control. I focus on organising data so it is consistent, secure and easy to work with.
  • Web developmentTypeScript, React, Next.js and Tailwind CSS for responsive websites and applications. I work with reusable components, accessibility and multilingual design.
  • SEO optimisationTechnical SEO, page structure, metadata and multilingual search visibility. I work on making websites easier for search engines to understand and people to find.
  • AI engineering & LLMsLLM-based information extraction, prompt design and report automation. I build AI workflows with clear inputs and quality checks, and use AI-assisted development across my projects.
  • Harness engineering & agent workflowsI’m researching and applying ways to give AI agents clear context, useful tools and well-defined tasks, with coordination, review and testing throughout development.
  • Testing & deliveryGit, GitHub, Docker and automated testing. My experience includes version control, quality assurance, and website deployment and configuration with Vercel and Cloudflare.
  • Business analysis & product developmentRequirements analysis, process improvement and translating business needs into technical solutions. I enjoy working from the first question through development, delivery and feedback.
  • Academic foundationsA foundation in statistics, signal processing, algorithms and deep learning from my Data Science studies. I also have basic familiarity with dbt and cloud platforms.
  • Communication & collaborationExplaining technical work, coordinating tasks and working with clients and colleagues. I value clear communication and shared priorities, and speak Norwegian, English and Arabic.

Away from
my desk.

Outside work, I spend a lot of time playing tennis, strength training and running. I enjoy the competition, and training helps me clear my head and stay focused.

I also play poker, DJ and listen to a lot of house music.

I like being around people and making time for friends. Keeping a balance between work, training and a social life matters to me.