Rajat Gupta

Rajat Gupta

ML Engineer

Building intelligent systems and solving real-world problems with machine learning.

About Me

My Journey

I began my academic journey in Physics, completing my undergraduate and master’s degrees before earning a PhD in Particle Physics, where I conducted research at some of the world’s leading laboratories including CERN. My work involved analyzing large-scale experimental data, designing real-time algorithms, and applying machine learning techniques to uncover subtle patterns in complex environments.

During my postdoctoral research at the University of Pittsburgh and CERN, I deepened my expertise in scientific computing and AI-driven workflows. This evolved into a broader focus on data science and machine learning engineering, where I now specialize in building robust, end-to-end systems — from data ingestion to modeling and deployment — grounded in strong analytical thinking and driven by real-world impact.

Skills & Expertise

Python Machine Learning Deep Learning MLOps Data Analysis PyTorch TensorFlow Scikit-learn SQL FastAPI Docker Git

Education & Experience

Data Scientist [2022 - Present]

ATLAS@LHC (CERN and University of Pittsburgh)

  • Leading ML-based anomaly detection research at the ATLAS experiment
  • Developing model compression workflows for real-time and hardware deployment
  • Collaborating with hardware teams to optimize ML inference for FPGA systems

Data Analyst (Ph.D. in Particle Physics) [2016-2022]

CMS@LHC (CERN and Panjab University)

  • Analyzed large-scale experimental datasets to extract structured patterns and validate data-driven hypotheses.
  • Coordinated multi-year projects involving data quality checks, statistical comparisons, and reporting of key metrics.
  • Co-authored multiple peer-reviewed publications; led communication and documentation for collaborative research.

Get In Touch

Have a question or want to work together? Feel free to reach out!

Contact Information

Location

Remote / Geneva, Switzerland


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