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Arghya Chatterjee

@i_arghya21

Agentic AI Professional at Capgemini

Kolkata, West Bengal, India

CapgeminiMaulana Abul Kalam Azad University of Technology

Arghya Chatterjee is an AI professional specializing in Natural Language Processing and Computer Vision. He has expertise in transformer models, agentic AI systems, and fine-tuning for robust applications. Currently an Agentic AI Professional at Capgemini, he has a proven track record of developing AI solutions for enterprise and government-scale systems, including the National Informatics Centre. He holds an M.Sc. in Data Science and is proficient in Python, deep learning frameworks, and RAG techniques.

Experience

Agentic AI Professional

Capgemini

•Nov 2024 - Present•Kolkata, India

Developing agentic AI systems to automate enterprise workflows with autonomous decision-making and tool orchestration. Automated post-onboarding smart document verification workflows using agentic AI systems for intelligent HR operations. Built autonomous agents for document verification, reasoning, and context-aware email drafting. Designed agentic workflows enabling task orchestration, decision-making, and dynamic tool usage across HR pipelines.

Software Developer II

National Informatics Centre

•Oct 2024 - Oct 2025•Kolkata

Responsible for developing and deploying AI-based solutions to enhance government digital infrastructure. Designed an AI system to automatically generate structured PowerPoint presentations from PDF documents. Developed a Vision Transformer (ViT) model for Crop Liveness Detection with 97% accuracy. Combined ViT and CNN-based feature extraction for Car Liveness Detection. Built AI Samadhan, a chatbot-driven issue tracking system using Milvus and PostgreSQL.

Office Assistant Support Graduate

National Informatics Centre

•May 2024 - Sep 2024•Kolkata

Contributed to AI-driven solutions supporting large-scale government digitization initiatives. Automated identity card detection and data extraction (AI Abhigyan) by training YOLOv8 on 5,000+ samples and integrating OCR and rule-based parsing.

Summer Intern

IIEST Shibpur

•Jun 2023 - Jul 2023

Developed a real-time weather monitoring system using ESP32 and environmental sensors. Integrated Arduino Cloud for remote monitoring and analytical reporting.

Education

Maulana Abul Kalam Azad University of Technology

M.Sc.

Data Science

Sep 2022 - Jul 2024•Grade: 9.0/10

St. Paul’s Cathedral Mission College

B.Sc.

Mathematics

Jul 2018 - Aug 2021•Grade: 7.23/10

Licenses & Certifications

Foundations of Data Science

Coursera

Get Started with Python

Coursera

Skills

Python
SQL
Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Generative AI
Agentic AI
PyTorch
TensorFlow
Docker
FastAPI
Milvus
PostgreSQL
Matplotlib
UI Path
Copilot Studio