Cardiff, UK

Applied machine learning · Data systems · Research

I’m Hassan Raza Bukhari, a data scientist and machine-learning engineer. I turn health, environmental and operational data into evaluated models, reproducible pipelines and usable products—from applied research to cloud delivery.

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5+years in applied data and ML
2Innovate UK KTPs
2first-author publications
45+independent client engagements
10k+learners across 137 countries

Research discipline.Product judgement.End-to-end delivery.

My work sits where applied research becomes a system someone can use. I frame the problem, build the analytical core, prove what it can and cannot do, and carry the result into a product.

  1. 01
    Frame

    Requirements, data structures and success measures

  2. 02
    Build

    Pipelines, models, APIs and product interfaces

  3. 03
    Prove

    Evaluation, reproducibility, assumptions and limits

  4. 04
    Ship

    Cloud delivery, integration, testing and handover

PythonSQLTypeScriptTime seriesSensor analyticsComputer visionNLPAWSAzurePostgreSQLDockerCI/CD

Systems across carbon, health, social impact and agriculture.

01Carbon Sorted

Independent product · 2026

Carbon compliance with a numerical source of truth.

Building a full-stack UK carbon-compliance product in which deterministic emissions calculations sit beside constrained LLM narrative generation. Unsupported figures are rejected, while provider routing, token and cost tracking, provenance and automated tests keep the system inspectable.

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Live product

Next.js · NestJS · PostgreSQL · Docker
02Point-of-care intelligence

University of Hull × NCS · Innovate UK KTP · 2022—2024

From physiological signals to product-ready monitoring.

Led applied R&D for an AI-enabled personalised telehealth system using ECG, PPG, temperature and oxygen-saturation time series. Designed reproducible workflows from collection and filtering through model development and evaluation, then supported Android and cloud integration.

94% ECG classification accuracy in project evaluation

Python · Deep learning · Time series · IoT
03Impact calculation toolkit

Cardiff University × Down to Earth · Innovate UK KTP · 2024—Now

Turning impact research into an open calculation toolkit.

Leading the design and delivery of a toolkit spanning people, natural and built environments. The work translates stakeholder needs into data structures, calculation logic, success measures and a phased technical roadmap.

≈30% less data-preparation time

Python · pandas · Product discovery · Data systems
04AgriVision

NCAI-funded · NUST · 2021—2022

Computer vision for wheat disease in the field.

Developed an automated computer-vision and IoT scouting system for wheat stripe rust. The project connected image segmentation, model development and prototype integration to a practical agricultural problem.

NUST Rector’s Gold Medal · first-author IEEE Access paper

Computer vision · Deep learning · IoT · Research

Two first-author studies.Two very different signals.

  1. 01IEEE Access · 2021Assessing the Impact of Segmentation on Wheat Stripe Rust Disease Classification Using Computer Vision and Deep LearningMeasured how image segmentation changes crop-disease classification performance.
  2. 0228th International Conference on Automation and Computing · 2023Studying the Impact of Varying Sample Length of ECG Signal on Classification AccuracyInvestigated how the duration of an ECG sample affects classification accuracy.

Experience across research and industry.

Two university–industry partnerships, applied research, independent delivery and technical teaching have shaped my practice.

  1. Cardiff University × Down to Earth ProjectData Scientist & KTP Research AssociateImpact calculation toolkit · stakeholder-led product delivery
  2. University of Hull × Network Communication SystemsData Scientist / R&D Project LeadMultimodal health signals · Android and cloud integration
  3. Duke University · Aerosol Research TeamMachine Learning EngineerApplied machine learning for aerosol research
  4. Independent consultingData Scientist & Machine Learning Engineer45+ engagements · 100% Upwork Job Success Score
  5. Technical instructorData science and machine learning educator10,000+ learners · 137 countries

05CONTACT

Applied machine learning, data-product and research-led engineering conversations.

eruditehassan@gmail.comRequest current CV