Hey there! I am an M.Sc. Mathematics student at the Technical University of Munich, focusing on probability theory and machine learning. I recently completed my Master's thesis at the University of Cambridge, working in the intersection of causality and Bayesian optimization. Currently, I am a Software Engineering Intern at Intrinsic, focusing on 6D object pose estimation models.

During my studies I also interned as a Computer Vision Engineer at the German Aerospace Center (DLR) in Berlin as well as undertook a research visit at the University of Tokyo.

I am currently seeking a full-time opportunities as of November 2025, ideally as a Research Engineer or Software Engineer in the field of Machine Learning.

TUM logoCam logodlr logoutokyo logo

Education

  1. Technical University of Munich
     Munich, Germany
    M.Sc. in Mathematics (Oct. 2021 - Present)
    ‍    • ‍Studies are focused on Stochastics, Numerics and Machine Learning
    • Minor in Computer Science; specifically interested in AI and data science
  2. The University of Cambridge
     Cambridge, UK
    Master's thesis (April 2024 - Dec. 24)
    ‍    • Developed Multi-Objective Causal Bayesian Optimization, a novel sequential optimization paradigm for identifying Pareto-optimal interventions in multi-outcome causal models
    • Demonstrated that our algorithm establishes optimal solutions, which state-of-the-art methods cannot reach for all experimental setups
  3. KTH Royal Institute of Technology
    ‍     Stockholm, Sweden
    Exchange Semester (Aug. 2022 – Jan. 2023)
    ‍     • Completed (project) courses worth 30 ECTS on various data science topics
  4. University of Bonn (DE)
     Bonn, Germany
    B.Sc. in Mathematics (Oct. 2017 – Aug. 2021)
    ‍    ‍• Studies focused on Stochastics, Algebra and Representation Theory
    • Minor in Economics; specialized in Microeconomics

Working Experience

  1. Intrinsic (Alphabet Inc.)
    Munich, Germany
    Software Engineering Intern (Mai 2025 - present)
    Working on 6D Object Pose Estimation models
  2. Institute of Industrial Science, the University of Tokyo
    Tokyo, Japan
    Research Intern: NLP (Oct. 2023 - Mar. 2024)
    • Explored a new language task for indirect language understanding called "Inferring the underlying intent of indirect answers"
    • Built a tool to efficiently extract, preprocess and annotate (polarquestion, indirect answer) pairs from X (formerly Twitter) data repositories
    • Designed and implemented language models for our indirect language understanding task
  3. German Aerospace Center (DLR)
    Berlin, Germany
    Research Intern: Computer Vision (Feb. 2023 - Jun. 2023)
    • Explored attention-based neural networks for computer vision tasks (vision transformers such as the pre-trained Segmenter and SegViT) in a maritime context, specifically for semantic segmentation of ships on DLR-MACS data
    • Experimented with extensive data fusion, transfer learning and fine-tuning approaches to improve model output and mIoU scores
    • Established and implemented a framework of benchmarks to evaluate the reliability and trustworthiness of these models as compared to traditional convolution-based architectures

Publications & Talks

  1. Multi-Objective Causal Bayesian Optimization
    S Bhatija, P D Zuercher, J Thumm, T Bohné
    Preprint from my research at the University of Cambridge. Accepted at ICML 2025.
  2. Risk control based trust of deep learning models for remote sensing applications
    P Bhattacharjee, S Bhatija, P Jung. Helmholtz AI Conference, June 2024, Düsseldorf, Germany.
    Talk from my work at the German Aerospace Center (DLR)

Extracurricular Experience

  1. 180 Degrees Consulting Munich
     Consultant (May 2022 - Sep. 2022)
     • Project task: constructing a verification framework to evaluate the credibility of brands’ sustainability claims, enabling distinction between greenwashing and green marketing
  2. AIESEC - Deutsches Komitee der AIESEC e.V
    National Consultant (Aug. 2020 - Jan. 2021)
    • Member of the National Support Body of AIESEC in Germany for which I consulted local committees on finance and management related topics
  3. AIESEC - Local Committee Bonn
    Local Committee Vice President (Feb. 2020 - Jul. 2021)
    • Member of the local committee’s executive board, leading the finance team
    Local Committee Member (Aug. 2018 - Jul. 2019)
    • Member of the local committee’s finance team and as such actively participated in team internal as well as LC events
Download CV Linkedin Google Scholar GitHub Email: shriyabt[at]intrinsic.ai