Here is the fully updated **`index.html`** file. I have updated the "Automatic image colorization" project card to link directly to your published article, added the journal's website link to your Honors section, and updated your Instagram link with the exact tracking URL you provided. *(Note: Your `styles.css` and `script.js` files remain exactly the same as the previous step and do not need to be updated again).* ### `index.html` ```html Muhammad Saad Najib — Machine Learning & Computer Vision

LAYER 00 · INPUT / machine learning engineer

Muhammad SaadM.Sc. · CS Najib

I build systems that see. From a published image-colorization network to face-recognition pipelines and 3D human understanding — I turn pixels into decisions.

Explore the work Download résumé
  • 0years in AI & software
  • 0vision projects shipped
  • 0published paper
Muhammad Saad Najib
FIG. 00 — hover / touch the portrait to see what the network sees
scroll

LAYER 01 · FEATURE EXTRACTION

Selected work

Eight activations from the last six years.
Hover a card to inspect it. Every visual is generated live — no images.

01 / PUBLISHED RESEARCHCNN · GAN · PyTorch

Automatic image colorization

A CNN that learns L→ab colour mappings, later extended with a GAN and served as an API. Published in the KIET Journal of Computing & Information Sciences (2021).

Deep learningGenerativePaper
02 / PRODUCTION PIPELINEFaceNet · ArcFace · OpenVINO

Face recognition pipeline

Detection, alignment, embedding and matching — FaceNet, ArcFace & CosFace inference plus RetinaFace on OpenVINO, built for Aletheia AI's product.

EmbeddingsEdge inference
03 / M.SC. THESIS · ONGOINGRPTU · PyTorch

3D human mesh recovery

Estimating 3D human pose and body shape from single images — adapting large-scale datasets to a new parametric body model and training multi-person recovery networks.

3D visionBody modelsDatasets
04 / RESEARCH

Egocentric grasp synthesis

Contextual reasoning for strain-aware hand–object grasps from a first-person view.

05 / MOBILE

Head-pose Android app

On-device head-pose estimation with threshold-triggered capture.

06 / EXPERIMENTS

OpenCV & image processing

Filters, Haar cascades, LBPH recognition and feature extraction — the fundamentals, by hand.

07 / CLASSIFICATION

CIFAR-10 classifier

A convolutional classifier across ten object classes — my first end-to-end training loop.

08 / WEB

Registry web app

React, plus a WordPress theme written from scratch in PHP and an ASP.NET project — the full-stack side.

25+ repositories · Arctic Code Vault contributorOpen GitHub

LAYER 02 · EMBEDDING

Curious by default.
Rigorous by training.

I'm Saad — a computer-science M.Sc. student at RPTU Kaiserslautern and former research assistant at DFKI, Germany's national AI research centre.

My path runs from a bachelor's final-year project that became a published paper, through production face-recognition systems at Aletheia AI, to research on 3D human understanding today. What connects it all is a fascination with how machines perceive — and the discipline to make it work outside a notebook.

Off the keyboard I've captained a departmental football team, organised university events, and raised funds for children's education. Good work, I've learned, is rarely a solo effort.

Based in
Kaiserslautern, Germany
Focus
Computer vision · 3D humans · ML systems
Languages
English · Urdu · German (learning)
Open to
ML / CV engineering & research roles

drag to rotate · skills embedded in ℝ³

Toolkit

PythonPyTorchTensorFlowOpenCVNumPyPandasscikit-learnOpenVINOC / C++ / C#JavaScriptReactGitLinuxSQLAndroid

LAYER 03 · TRAINING LOG

Ten epochs of learning

Every role is an epoch. The curve is my learning rate.
Hover or tap a point to read the log entry.

loss (skills)val_loss (impact)
201620182020202220242026
epoch 10/10Oct 2022 — Sep 2023

Research Assistant — DFKI

Deutsches Forschungszentrum für Künstliche Intelligenz. Machine-learning pipelines, semantic datatype checking and dataset generation; built predictive models on large datasets to improve decision-making.

ML pipelinesLarge datasetsResearch
  1. OCT 2022 — SEP 2023

    DFKI · German Research Center for Artificial Intelligence

    Research Assistant

    Machine-learning pipelines, semantic datatype checking and dataset generation. Worked with large datasets to build predictive models that enhanced decision-making processes.

  2. NOV 2020 — MAR 2022

    Aletheia AI

    Machine Learning Engineer

    Joined as a system-deployment intern; promoted within months to a full-time role in product development. Core contributor to the facial-recognition pipeline.

  3. DEC 2020 — FEB 2021

    Amal Academy · Stanford-funded fellowship

    Career Prep Fellow

    Selected from 4,500+ applicants for a 150-hour programme in leadership, communication and problem-solving.

  4. 2016 — 2020

    Early internships

    AI · Web · IT

    Digital Landscape (AI intern — built a face-recognition system), Interns Pakistan (front-end), Pakistan Civil Aviation Authority (ASP.NET) and Pakistan Television (IT).

LAYER 04 · CHECKPOINT

The résumé, exported.

Three pages. Education, experience, projects, publications and certifications — the full checkpoint file.

Download PDF
Muhammad_Saad_Najib_CV.pdf · 194 KB · updated 2026
PDF · 3 pages

LAYER 05 · OUTPUT

Let's build something
that sees.

saad@portfolio ~ % contact --all

          

          
        

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