SHORT BIO#
I’m a Machine Learning Engineer with an MSc in Mathematics from TU Munich and experience building real-world ML systems in industry. My work focuses on Python-based machine learning, computer vision, and data-driven solutions, combining strong mathematical foundations with practical engineering. I’ve worked on image classification, clustering, and deploying models using AWS. I’m interested in applied ML roles, research-oriented projects, and collaborations at the intersection of mathematics and its applications.
Apart from that, I am a proficient violinist and a very good football player. I speak fluent English and German.
EDUCATION#
Technical University of Munich
2021 - 2024
M.Sc Mathematics
I specialized in Algebra and Geometry. I also did course work in applied mathematics in topics such as Deep Learning, General Relativity and Optimization. My thesis was in the area of Quantum Information.Shiv Nadar University
2017 - 2021
B.Sc Mathematics
I graduated with Distinction and my thesis concerned itself with Vector Bundles.
Journal Articles#
An Automated Prefabricated Facade Layout Definition for Residential Building Renovation
Kepa Iturralde, Samanti Das, Aravind Srinivasaragavan, Thomas Bock, Christoph Holst
Buildings, 13(12), 2023.
DOI:10.3390/buildings13122981Enhanced Precision in Built Environment Measurement: Integrating AprilTags Detection with Machine Learning
Shengtao Tan, Aravind Srinivasaragavan, Kepa Iturralde, Christoph Holst
, 1295–1298, 2024.
DOI:10.22260/ISARC2024/0167A Robust Pipeline for Facade Geometry Estimation Using AprilTags and Digital Imaging
Aravind Srinivasaragavan, Danya Liu, Kepa Iturralde, Christoph Holst
, 1530–1535, 2025.
DOI:10.22260/ISARC2025/0199Integrated Workflow for a Semi-Automated and Robotic Facade Renovation
Kepa Iturralde, Wenlan Shen, Renzo Bazan, Oscar Amo Grau, …, Aravind Srinivasaragavan, Samanti Das, Thomas Bock, Christoph Holst
Frontiers in Built Environment, 11, 2025.
DOI:10.3389/fbuil.2025.1649278
