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Hassam Shah AI Engineer

Engineering intelligent systems that learn, reason, and scale.

I design, train and deploy machine learning systems — spanning deep learning, computer vision, natural language processing, intelligent automation and AI-powered applications.

Available for collaboration AI Engineer Building intelligent systems
  • AI
  • ML
  • CV
  • NLP
  • LLMs
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01About

From data to deployed intelligence.

I'm Hassam Shah, an AI engineer who enjoys the full arc of building intelligent systems — framing the problem, shaping the data, training models and getting them to work reliably in the real world.

My interests sit where research meets engineering: computer vision, language models, intelligent automation and the infrastructure that turns a promising notebook into a dependable product.

I care about clear evaluation, simple architectures that are easy to reason about, and software that people can actually use.

profile.json
{
  "name": "Hassam Shah",
  "role": "AI Engineer",
  "focus": ["ML", "Deep Learning", "CV", "NLP"],
  "builds": ["models", "pipelines", "AI apps"],
  "location": "add in js/data/site.js",
  "open_to_collab": true
}

Designing AI systems

Architectures that fit the problem, not the hype.

Training models

From classical ML to deep neural networks.

Computer vision

Systems that understand images and video.

Deploying ML

APIs, containers and reliable inference.

>_How I work · ML lifecycle

  1. Frame

    Define the problem, constraints and what success means.

  2. Data

    Collect, clean and understand the data first.

  3. Model

    Start simple, then iterate on architecture and training.

  4. Evaluate

    Measure honestly against the right metrics.

  5. Deploy

    Ship behind an API, monitor and improve.

02Skills

A stack built around the model lifecycle.

Tools grouped by what they do in a real system — from research and training to data and production.

03Experience

Where the work happened.

    04Projects

    Selected work.

    Systems across vision, language, prediction and automation. Open any project for the full case study.

    05AI Lab

    What I'm exploring.

    Open research threads and experiments — the topics I'm reading about, prototyping and testing.

    lab — research.log
    
                

    06Neural Playground

    Watch a network learn, live.

    A real neural network trained in your browser with backpropagation — not an animation. Pick a dataset, hit train, and hover the input space to run inference on any point.

    input space · decision boundary
    network · 2 → 8 → 8 → 1
    Epoch
    0
    Loss · BCE
    Accuracy
    Params · state
    · Ready
    Class A (filled) Class B (ring) Edges: cyan = positive weight, violet = negative · thickness = magnitude · tanh hidden units, Adam optimiser.

    07Engineering Activity

    Open source & repositories.

    Live public data from GitHub: repositories, languages and recent activity.

    08Contact

    Let's build something intelligent.

    Have a project, a role or an idea involving AI? I'd like to hear about it.

    Send a message