Resume

Universität des Saarlandes 2023 - current

M.Sc. in Computational Linguistics

GPA - 1.3 (4.0 on US scale)

Manipal Institute of Technology 2016 - 2020

B.Tech Computer Science and Engineering

CGPA - 9.09 / 10

Research Assistant, Language, Computation and Cognition Lab Dec 2023 - current

Theoretical analysis of the strengths and limitations of all neural network building blocks
Investigating the reasons behind length generalisation in transformers

ML Engineer, Glib.ai Dec 2020 - Aug 2023

Lead developer on one of the flagship products Finray, a financial statement analyser
Implemented novel models for automated extraction of relevant tables from long documents

Intern, Samsung R&D Bangalore Jan 2020 - Jun 2020

Intern, Novartis India Ltd Nov 2018 - Jul 2019

Huang, X., Yang, A., Bhattamishra, S., Sarrof, Y., Krebs, A., Zhou, H., Nakkiran, P., & Hahn, M. (2024). A Formal Framework for Understanding Length Generalization in Transformers. under Review at ICLR 2025
Sarrof, Y., Veitsman, Y., & Hahn, M. (2024). The Expressive Capacity of State Space Models: A Formal Language Perspective. NeurIPS, 2024

Formal Languages and Neural Networks seminar (FLaNN), 2024 Expressive Capacity of SSMs
TaCoS, Student Conference, 2024 Transformers or RNNs or SSMs: Who’s more sensitive?

Smart India Hackathon 2019, Winners: Led a 6-member team to victory in a 36-hour national hackathon organized by the Government of India with 300,000 participants. Developed an AI-driven game suite based on Gardner’s Multiple Intelligences Theory to assess and enhance children’s cognitive skills.
GE HackElt Pan India 2019, Finalists: Part of a top 10 finalist team in a national hackathon by General Electric India. Developed a predictive Hospital Appointment Management System to optimize patient wait times and provide analytics for improved hospital efficiency.

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