About

I am a PhD student at the University of Luxembourg, working on Geometrical and Topological Deep Learning and the mathematical foundations of artificial intelligence. My supervisor is Jun Pang My research lies at the intersection of deep learning, geometry, topology, and its interdisciplinary applications. Previously, I worked in industry as a Machine Learning Engineer and Data Scientist, building scalable machine learning systems and applying data-driven methods to problems in finance, mobility, and forecasting.

Experience

Jun 2023 – Sep 2025
Stellantis, Europe
Machine Learning Engineer

• Designed and deployed end-to-end MLOps pipelines using PySpark, MLflow, and Databricks
• Optimized large-scale data processing workflows for performance and scalability
• Collaborated with cross-functional teams to productionize ML models

Jun 2020 – Aug 2021
ZestMoney, India
Data Scientist

• Developed credit risk, default prediction, and CLV models in the BNPL domain
• Worked closely with Credit and Risk teams on automated decision-making

Jul 2022 – Jan 2023
Amazon, India
Business Intelligence Intern

• Reduced forecast processing time by 50% through optimization and AWS deployment
• Built analytics tools using EC2, Streamlit, SageMaker, and QuickSight

Education

2021 – 2023
CentraleSupélec & ESSEC Business School, Paris, France
Double MSc in Data Science and Business Analytics (CGPA: 15.35/20)

• Deep learning models: MLPs, CNNs, GNNs
• Interdisciplinary research in AI, Finance, and Marketing

2016 – 2020
Indian Institute of Technology (IIT) BHU, Varanasi, India
Bachelor of Engineering in Mathematics (CGPA: 8.60/10)

• Coursework: Machine Learning, Optimization, FEM, Mathematical Modeling
• B.Tech Project: Landslide Susceptibility Modeling using ML