Eklavya Goyal
Physics @ TUM · Mathematics @ LMU · ML @ Tools for Humanity
Double-degree student in Munich: physics at TUM, mathematics at LMU. Machine learning at Tools for Humanity (World), on proof of personhood.
Golden Chalk 2025 (best TA, TUM Physics, taught in German). Three hackathon wins in 2026 (and a 4th of 130+ teams). Ships language and education products on the side.
Experience
Machine Learning
Tools for Humanity (World) · Munich
- Production ML for proof of personhood at planetary scale: verify a unique human without surveilling them, privacy as a design input.
Physics-Informed Learning (research)
TUM
- Physics-informed networks: conservation laws become a training signal, not a constraint fought against, and the same loss recovers unknown physical constants from noisy data.
Teaching Assistant, Physics
TU Munich
- Golden Chalk 2025: best TA in the department, for tutorials taught in German.
Education
B.Sc. Physics
Technical University of Munich
- One of two degrees run at the same time; the main academic anchor.
B.Sc. Mathematics
LMU München
- Physics and maths side by side, on purpose. Where the rigor comes from.
Studienkolleg (Technical Course)
TU Munich · grade 1.4
- Natural sciences, in German · grade 1.4.
German language, TELC C1
EIIE Eurasia Institute, Berlin
- TELC C1, from zero in three years.
Senior secondary, natural sciences
CBSE · 95.8% (≈ 1.0)
- 95.8%, German-grade equivalent 1.0.
Skills
Languages/ML
Domains
Awards
- Track winner - Warden, Energy Hack Munich (E.ON), 2026
- 4th of 130+ teams - TUM.ai Makeathon, osapiens challenge, 2026
- 2× first place - TUM.ai × Unite Data Mining Hackathon, 2026
- Golden Chalk - Best TA, TUM Physics Department, 2025
Languages
- English (fluent) · German (TELC C1) · Hindi (native)