CV

Updated Nov 2025.

Education 🎓

Johannes Gutenberg-Universität Mainz 2024

M.Sc Physics (Research-Oriented)

Kadi Sarva Vishwavidyalaya 2017

M.Sc Physics

Gujarat University 2015

B.Sc Physics

Project 💻

Latent Diffusion Anomaly Detection for New Physics Searches May 2025 – Present

Independent Research Project
  • Developing a latent diffusion–based anomaly detection framework to identify model-independent new physics signatures in LHC data.
  • Combines a Bayesian encoder with physics-aware losses (mass decorrelation, Ï„ correlations) for robust background separation.
  • Evaluated on QCD, W′, and RODEM Jet datasets (link) using ROC, 5σ, and UMAP metrics.
  • Aims to build unsupervised, uncertainty-aware models that enhance interpretability in AI-driven physics searches.
  • Preprint in preparation

Johannes Gutenberg University Mainz Sep 2023 - Sep 2024

Master Thesis Project
Supervisor: Prof. Dr. Wolfgang Gradl
Systematic studies on the signal yield determination in the decay B → K*(892)(→ Kπ)ℓ+ℓ− at Belle II (Thesis)
Developed a fit model for the decay channel focusing on precise signal and background separation across various q² regions. Applied q² vetoes to reduce contamination from resonances like J/ψ and ψ(2S). Validated using control channels and tested robustness with toy Monte Carlo studies. Demonstrated model effectiveness on realistic Belle II data, providing groundwork for future high-luminosity rare decay studies.

Institute for Plasma Research (IPR) Apr 2016 - Apr 2017

Master Thesis Project
Supervisor: Dr. Balasubramanian C.
Synthesis of SiC 1D nanostructure by plasma arc method (Thesis)
Used thermal plasma arc discharge to synthesize 1D SiC nanostructures, with plasma current playing a key role in morphology. XRD confirmed crystal structure; TEM revealed SiC nanorods/nanowires. EDAX and elemental mapping validated silicon and carbon distribution in samples.

Research Experience 💼

INFN Padova Logo

INFN Padova Feb 2025 – Present

Research Assistant
Contributing to the MODE Collaboration by applying generative machine learning models, particularly diffusion models, to detector design. Currently focused on optimizing sampling calorimeters and gaining hands-on experience in simulation, generative modeling, and detector physics for future collider experiments.

TU Dortmund University Dec 2024 - April 2025

Intern
Working on calibration of boosted W/Z boson tagging algorithms using ATLAS 13 TeV data. Focus on deriving scale factors and improving jet substructure-based tagging performance.

Johannes Gutenberg University Mainz Aug 2021 - Aug 2024

Research Assistant (various projects)
  • Active Polarized Proton Target: Studied SiPM behavior under varying temperatures to optimize detector sensitivity.
  • Ï„ SPECT Experiment: Data analysis and hardware integration for UCN lifetime studies.
  • ATLAS HGTD: Evaluated flexible PCB stability under thermal/geometrical stress for precision timing detectors.
  • JUNO Neutrino Experiment: Validated RTD sensors and developed LabVIEW DAQ tools for integration with liquid scintillator systems.
  • Axion Dark Matter Experiment (ADMX): Analyzed test spectra using an alternate CERN setup. Contributed to SUPAX detector development by improving sensitivity and noise reduction techniques.

Helmholtz Institute Mainz Jun 2021 - Sep 2021

Research Assistant
Contributed to the assembly of the PANDA Backward Electromagnetic Calorimeter for the FAIR experiment. Involved in detector construction and integration.

Teaching Experience 💡


Kadi Sarva Vishwavidyalaya
Teaching Assistant Jun 2017 – Feb 2021

Conducted undergraduate and graduate teaching in physics.

Responsibilities:

  • Assisted in preparing lecture notes and assignments for undergraduate and graduate physics courses.
  • Conducted lectures, tutorials, and lab sessions for Bachelor’s and Master’s students.
  • Designed and delivered course materials for various physics subjects.

Courses Taught:

  • Applied Physics and Engineering Physics
  • Electronics
  • Nuclear and Particle Physics