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Shourya Munim

@shouryamunim

AI Research Scientist at American Express

Gurugram, Haryana

American ExpressIndian Institute of Information Technology, Allahabad

Shourya Munim is an experienced AI Research Scientist with a strong background in big data environments and machine learning deployment. He has extensive experience at American Express, where he has led the development of AI/ML platforms, model interpretability capabilities, and performance monitoring systems. His expertise includes optimizing analytical big data clusters and building robust governance-oriented products.

Experience

AI Research Scientist

American Express

Full-time•Invalid Date - Present•Gurugram, Haryana

Leading a team of product analysts working on AI/ML model development product- AiDa Develop, which is part of the unified AI/ML platform. Responsibilities include developing model interpretability capabilities, proprietary model building algorithms, optimizing analytical big data clusters, and developing tools to improve ML execution reliability.

Sr. Product Analyst

American Express

Full-time•Invalid Date - Invalid Date•Gurugram, Haryana

Worked on the AI/ML governance-oriented product, M-Pulse. Responsibilities included designing and developing the platform from scratch, standardizing metric calculation techniques, developing storage units for real-time dashboards, exploring new metrics, and designing alert management systems.

Sr. Systems Analyst & Programmer Analyst

American Express

Full-time•Invalid Date - Invalid Date•Gurugram, Haryana

Worked on the AI/ML deployment platform, E-Intelligence. Responsibilities included enhancing and designing new features, model onboarding and optimization, data module development (in hive and Py-Spark), general query handling, and developing automation utilities using python, C/C++, and shell.

Education

Indian Institute of Information Technology, Allahabad

MTech

Information Technology (Robotics & Machine Intelligence)

Jan 2018•Grade: CGPA: 9.23

Thesis focused on swarm robotics using genetic algorithm to find path.

School of Engineering, Tezpur University

BTech

Electronics & Communication Engineering

Jan 2015•Grade: CGPA of 9.41

Thesis focused on developing a novel algorithm to track objects in a video and implement it on hardware - FPGA.

Skills

Python
Spark
Machine Learning
Data Science
SQL
SQLite
Hive
C/C++
Shell Script
Linux