About me

Hello! I am Alex Sheldrick, holding an M.Sc. in Robotics, Cognition, and AI from the Technical University Munich (TUM) and an M.Sc. in Physics from the Technical University Berlin (TUB). My academic journey has equipped me with a robust mathematical foundation, specializing in Computer Vision, inverse rendering, and 3D Reconstruction. My master’s thesis at TUM focused on “Neural Radiance Field Reconstruction with Depth and Normal Constraints,” where I developed a novel loss for depth-supervised training of neural radiance fields.

Professionally, I have worked as an AI Engineer at appliedAI Initiative, where I led the development of secure LLM middleware solutions and formulated AI strategies for retail automation. Additionally, as a Data Scientist at ExoMatter, I engineered an LLM-based data ingestion pipeline and developed custom machine learning models for material science data.

I’ve had the privilege of being a research fellow at the Niessnerlab: TUM Visual Computing & AI Group, focusing on 3D computer vision research. Additionally, I contributed as a student researcher in B.Sc. & M.Sc. Experimental Physics at TUB, leading to multiple publications in molecular spectroscopy.

Proficient in Python and PyTorch, I leverage these skills extensively in my projects. I hold dual citizenship in Germany and the UK and am fluent in German and English, with additional proficiency in Italian and a good understanding of French and Spanish.

Outside the academic and professional world, I’m passionate about E-Sports. I founded and captained a team that clinched the World Championship title in WoW-Arena in 2017 and competed for renowned teams, including Tempo Storm.