
About
Hi, I’m Hassan. I studied computer science at NUST in Islamabad, shipped software in Lahore, then moved to Munich for a master’s at TUM and finished it with a thesis at Harvard Medical School. These days I live in Cologne.
My work sits where data engineering meets machine learning: pipelines that don’t break at 3 a.m., models that are useful outside a notebook, and lately agents that do real work for real teams. Off the keyboard I take photos, travel, and am slowly getting less bad at golf.
- M.Sc. Data Engineering and Analytics
- Technical University of Munich 2025
- B.S. Computer Science
- NUST, Islamabad 2019
Work
2026 – now
Forward Deployed Engineer at KI performance
Building agentic, multi-agent AI platforms for enterprise clients on Microsoft Azure.
Microsoft Foundry · Azure OpenAI · Azure AI Search · Python · MCP
Cologne
2024 – 2026
Software Engineer at peopleIX
Architected and owned the data and AI backend of an HR analytics platform: 50+ Airflow pipelines, multi-tenant Postgres models, a semantic metrics layer and the LLM stack behind its AI analyst.
Python · Airflow · AWS · Azure OpenAI · PostgreSQL · LangGraph
Cologne
2023 – 2024
Graduate Researcher at Harvard Medical School
Deep learning for tracker-less ultrasound guidance in neurosurgery: a texture-invariant keypoint descriptor that matches pre-op MR with intra-op ultrasound. Became my TUM thesis and a best-presentation paper.
PyTorch · Computer Vision · Contrastive learning
Boston
2023
Co-Founder at MuseLabs
A product mixing social media with e-commerce. Built the FastAPI backend on GCP and the Flutter app.
FastAPI · GCP · Flutter
Munich
2022 – 2023
Software Engineer, Cloud Processing at NavVis
Built the QA automation suite for release testing of the IVION Cloud Processing product.
Python · Selenium · Robot Framework · C#
Munich
2022
Research Assistant at Fraunhofer IKS
Constrained hierarchical reinforcement learning for safe robot navigation. Joint first-author paper at IEEE ICMLA.
PyTorch · Reinforcement learning
Munich
2020 – 2021
Machine Learning Engineer at SlashNext
ML pipelines for real-time phishing detection; a hash-based image method lifted detection on image data by 5%.
PySpark · TensorFlow · OpenCV
Lahore
2019 – 2020
Software Engineer at Techlogix
APIs and front-end for the web and mobile apps of a campus management product.
Angular · Ionic · Flask
Lahore
Research
Three papers, two fields: making robots navigate safely, and helping neurosurgeons line up ultrasound with MRI during surgery.
ASMUS @ MICCAI 2024First author
Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound
Best Presentation AwardCodeMICCAI 2024Co-author
Intraoperative Registration by Cross-Modal Inverse Neural Rendering
IEEE ICMLA 2022Joint first author
Safe Robot Navigation Using Constrained Hierarchical Reinforcement Learning
Projects
Recent builds
Small AI tools I made for myself.
Vision and ML
Research code and the projects that got me into computer vision.
- crossfeat2dMR-to-ultrasound image matching with texture-invariant keypoint descriptors.
- fast-strotssA complete, faster version of the STROTSS style-transfer method.
- intelliscraperImage scraper that keeps only what a YOLOv3 detector confirms. MLH Local Hack Day award.
- V-DetectVehicle make and model recognition, my bachelor’s thesis.
- cifar10-similaritySiamese SqueezeNet with contrastive loss to find similar CIFAR-10 images.
From the archive
Undergrad days: OpenGL games and a football-chasing robot.
Everything else lives on github.com/hassanrasheedk.
Photos
Phone photography from places I’ve lived and passed through. More on Instagram.
Writing
Say hello.
Working on something with data, ML or agents, or just want to talk photos? My inbox is open.
Message me on LinkedIn