human
Curiosity and taste; I test ideas in the open.
a
training models, building evals, and testing ideas against real benchmarks
Curiosity and taste; I test ideas in the open.
training models, building evals, and testing ideas against real benchmarks
I am a founder and applied ML researcher in Berlin, working on the training side of AI: embedding models, retrieval evaluation, RL-style environments, and tools for understanding model behavior. My current work is hyper³labs: hierarchy-aware image-text models, HyperView, and eval loops that turn retrieval failures into better data and training runs.
Previously, I worked on smart-substation ML at GE Vernova and helped build open-source energy infrastructure tooling through PyPSA-Earth and earth-osm. I grew up between Germany and Lahore and studied Artificial Intelligence and Mathematics at the University of Edinburgh.
A compact log of talks, programs, wins, and technical work that sits around the main project portfolio.
Sep 18, 2026: released Hyper3-CLIP V1, a hyperbolic image-text embedding model for hierarchy-aware visual search. LinkedIn launch Model
Sep 15, 2026: spoke at Haystack EU in Berlin about hyperbolic embedding models for visual search. Talk recap
Sep 2026: presented Hyper3-CLIP as an oral paper at the ECCV 2026 Beyond Euclidean Workshop. Paper
Jul 2026: joined the Foresight Institute Berlin Node and accepted a grant for open multimodal-dataset and embedding-model inspection tools.
Mar 2026: secured German ministry-supported AI compute for a Hyper3-CLIP proposal on hyperbolic adapters for multimodal retrieval.
Mar 8, 2026: presented HyperView in a Berlin Computer Vision Group workshop on image-embedding geometry. Event
Feb 1, 2026: presented HyperView in a Berlin Computer Vision Group workshop on dataset curation, outliers, and geometric projections. Event
Dec 2025: presented HyperView at Merantix AI Campus Hacker Room Demo Day. Video
Oct 2025: won the Lyceum / Merantix Model Brawls prize with the top-performing model in a two-hour GPU software challenge.
Sep 2025: accepted into and joined the Merantix AI Campus Hacker Room residency in Berlin while building hyper³labs/ HyperView . Program
Jun 2025: built a Qwen2.5VL-to-action driving prototype for 0xRobots, streaming camera frames into a VLA loop. Code
Mar-Sep 2025: selected for the Apart Research Fellowship after building AI safety tooling through Apart Lab Studio. Program
Sep 2024: built an NLP occupational-standards analysis tool in the Alan Turing Institute Data Study Group. Program
Mar 2024: won 1st place at the Apart Research AI Safety Hackathon with Alignment Graph , including a $1,000 prize. Site Writeup
Nov 2023: toured the US with Open Energy Transition / PyPSA meets Earth, organizing open energy-modelling exchanges across Austin, Stanford/San Francisco , Golden, Princeton, and Washington DC. Event
2019: became a DHL UK Scholar and a Barclays Local Genius finalist while studying AI and mathematics at Edinburgh.
If something here overlaps with what you are building, researching, or trying to understand, send a note. Short, specific emails are very welcome.
human @ matin.ai
