profile: sobhaannow: KPMG · Amsterdam

Sobhaan ul Husan

/AI Engineerkpmg · health_platform
01 / 05

Based in Amsterdam. Building a global health research platform and a hospital AI patient-assistant avatar at KPMG. Before that, research at VU Amsterdam on sports analytics with computer vision, and on social robots in healthcare and education. M.Sc. AI, VU Amsterdam · B.Sc. AI, UvA.

▸ feed:pub · ACM MMSports '25 · body orientation in footballpub · ACM/IEEE HRI '26 · personalized reading robot for primary schoolspub · IDC '26 (under review) · social robot for pediatric medical hypnosiscert · AI-102 Azure AI Engineerlangs · en (pro) · nl (native) · ur (working)now · KPMG · Amsterdam · health platform + AI avatarpub · ACM MMSports '25 · body orientation in footballpub · ACM/IEEE HRI '26 · personalized reading robot for primary schoolspub · IDC '26 (under review) · social robot for pediatric medical hypnosiscert · AI-102 Azure AI Engineerlangs · en (pro) · nl (native) · ur (working)now · KPMG · Amsterdam · health platform + AI avatar
showing: recent_work

Selected projects

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May 2025

Sports Analytics Computer Vision System

Master's thesis: a computer vision pipeline that automates two off-the-ball football statistics, body orientation at the pass and scanning checks before receiving.

Computer Vision · YOLOv8 · PyTorch
Feb 2026in_progress

KPMG: Hospital AI Patient Assistant

AI-powered patient-facing avatar for a hospital setting. Answers patient questions to take routine load off nursing staff, built on Microsoft Foundry agents with a React frontend.

AI Engineering · React · Microsoft Foundry
Mar 2026in_progress

KPMG: Global Health Research Platform

Full-stack work on a global research platform that lets researchers across multiple countries publish, manage, and collaborate on health research projects.

Full-Stack · Node.js · Playwright
Sep 2024

Medical Image Segmentation

Deep learning pipeline for 3D thoracic organ segmentation from CT scans. nnU-Net 3D vs a custom U-Net variant vs ENet baseline on the SegTHOR challenge.

Medical Imaging · Deep Learning · PyTorch
Dec 2024

AKI Prediction in Septic Shock

Predicting Acute Kidney Injury stages in ICU patients with septic shock using Decision Trees, XGBoost, and SHAP explainability on the AmsterdamUMC database.

Machine Learning · XGBoost · SHAP
Jul 2024

Robot Bookworm

Research assistant on a 4-session HRI study at VU Amsterdam: a NAO robot assigned each child a personally-fitting book and ran personalized, LLM-supported book discussions across two primary schools. Published at HRI '26.

HRI · Social Robotics · Education
about: short

I build AI systems that live in the real world: hospitals, football pitches, classrooms.

My research spans computer vision, human-robot interaction, NLP, and full-stack development. I care about systems that survive contact with real users, the last 10% where research becomes product.

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