Summary
Overview
Work History
Education
Skills
Accomplishments
Personal Information
Languages
Publications
Professional Development
Websites
Timeline
Generic
Dr. Nilarun Mukherjee

Dr. Nilarun Mukherjee

Kolkata

Summary

Principal consultant at Infosys Ltd. specializing in machine learning and generative AI. Demonstrated success in enhancing client capabilities through innovative training programs and content development. Strong adaptability and teamwork skills contribute to impactful projects that elevate organizational knowledge in advanced AI technologies.

Overview

21
21
years of professional experience

Work History

Principal Consultant

Infosys ltd.
Kolkata
11.2022 - Current
  • Conducted FP and CE trainings on agentic AI, machine learning, deep learning, generative AI, NLP, and data science to enhance client capabilities.
  • Conducting Client Trainings on ML, DL, and Generative AI.
  • Developed content and rolled out organization-wide awareness sessions on NVIDIA AI technologies to elevate staff knowledge and engagement.
  • Development of Animated Content and Courses with End-to-End Implementation for Project Enablement, Senior Leadership, and Client on: Transformer Architecture, GANs.
  • Built PoCs and Course Contents on latest Agentic AI frameworks such as LangGraph, Agno and technologies such as MCP and A2A communication protocols.
  • Building, Training and Fine-tuning CNNs, LLMs, SLMs.
  • Built PoCs and Course Contents on: PEFT (LoRA, IA3, Soft-prompting etc.) Methods, RAG and Fusion-RAG, LLaMa Architecture, KV Caching, Grouped Multi-Query Attention etc.
  • Designed and implemented machine learning and deep learning models.
  • Conducted leader enablement sessions across various DCs in Infosys on transformer architecture and applications of open-source and proprietary LLMs, focusing on agentic AI with MCP, A2A communication protocol, and retrieval augmented generation (RAG) with semantic search.
  • Conducting JIT and RBT sessions to enable production people in various Generative AI as well as conventional Deep Learning and Machine Learning projects.
  • Developed and deployed Training Schedule Preparation Software using Excel and VBA.

Assistant Professor

Bengal Institute of Technology
Bantala-Hadia
01.2007 - 11.2022
  • Teaching with ICTs and own animated contents, guiding final year projects, conducting university semester examinations as officer-in-charge, conducting Seminars and Industry-Academia partnership programs, organizing technical fests as convener, organizing national and international conferences.

Assistant System Engineer - TRAINEE

TATA CONSULTANCY SERVICES
08.2006 - 01.2007
  • Testing

Lecturer

Narula Institute of Technology
12.2005 - 08.2006
  • Designed and delivered engaging educational content to enhance student understanding and participation

Education

PhD - A GENERIC FRAMEWORK FOR DEEP LEARNING BASED DETECTION AND CLASSIFICATION OF EYE DISEASES

Aliah University
Kolkata, West Bengal
01-2025

M. Tech. - Information Technology

Calcutta University
India
01-2006

B. E. - information technology

Govt. College of Engineering & Ceramic Technology
India
01-2004

Higher Secondary -

St. Xavier’s College
Kolkata
01-2000

Secondary -

Mitra Institution (Bhowanipore)
Kolkata
01-1998

Skills

  • Machine learning and deep learning
  • Data science and analytics
  • Generative AI
  • Image processing
  • Natural language processing
  • TensorFlow, PyTorch, and scikit-learn
  • Transformer architecture
  • Python programming
  • Database management systems
  • Software engineering principles
  • Leadership development
  • Curriculum design
  • Training and development

Accomplishments

  • Mentor of the team 'Brogrammers1' which won the Smart India Hackathon 2022 (SIH-2022) for the problem statement GM750 for the Ministry of Culture.
  • Awarded NPTEL Discipline Star December 2019.
  • Achieved Best Paper award for the paper 'A New Approach for Color Distorted Region Removal in Diabetic Retinopathy Detection' in International Conference on Advancements of Medical Electronics (ICAME 2015).

Personal Information

  • Date of Birth: 07/14/81
  • Nationality: Indian

Languages

  • English
  • Bengali
  • Hindi

Publications

  • Bi-Directional Hybrid Attention Feature Pyramid Network for Detecting Diabetic Macular Edema in Retinal Fundus Images, IEEE Access, 13, 38726-38744, 2025, 10.1109/ACCESS.2025.3545873
  • A Dual-Directional Hybrid-Attention based Feature Pyramid Network for Diabetic Retinopathy Detection, International Conference on Pattern Recognition 2024 (ICPR-2024), Accepted, 2024
  • Application of Deep Learning Approaches for Classification of Diabetic Retinopathy Stages from Fundus Retinal Images: A Survey, Multimedia Tools and Applications, 83, 43115–75, 2024, 10.1007/s11042-023-17254-0
  • A Hybrid CNN Model for Deep Feature Extraction for Diabetic Retinopathy Detection and Gradation, International Journal on Artificial Intelligence Tools, 32, 8, 2350036, 2023, 10.1142/S0218213023500367
  • Comparing Deep Feature Extraction Strategies for Diabetic Retinopathy Stage Classification from Fundus Images, Arabian Journal for Science and Engineering, 48, 10335-10354, 2023, 10.1007/s13369-022-07547-1
  • In Search for the Optimal Preprocessing Technique for Deep learning based Diabetic Retinopathy Stage Classification from Retinal Fundus Images, Artificial Intelligent Technologies for Computational Biology, CRC Press, 2022, 10.1201/9781003246688-8
  • Comparing Different Preprocessing Techniques for the Classification Tasks in Diabetic Retinopathy from Fundus Images, International Conference on Advancements of Medical Electronics, 2022, 10.1007/978-981-16-5207-3_51
  • Automated localization of optic disk in retinal fundus images using cluster region membership and vessel network, International Journal of Computers and Applications, Taylor & Francis, 41, 5, 343-358, 2018, 10.1080/1206212X.2018.1437658
  • A New Approach for Color Distorted Region Removal in Diabetic Retinopathy Detection, International Conference on Advancements of Medical Electronics, 2015, 10.1007/978-81-322-2256-9_9
  • Non-Replicated Dynamic Fragment Allocation in Distributed Database Systems, International Conference on Advances in Computer Science, 2011, 10.1007/978-3-642-17857-3_55
  • Design of Look Ahead Carry Adder Using Reversible Quantum Gates, International Conference on IT, HIT, 2007
  • Design And Analysis Of Quantum Flip – Flop Circuits Using Reversible Logic, 3rd International Conference on Computers and Devices for Communication (CODEC-06), 2006

Professional Development

  • Generative AI for All, Infosys Ltd., 11/2023
  • Data Science Using Python Professional – Part 2, Infosys Ltd., 08/2023
  • Data Science Using Python Professional – Part 1, Infosys Ltd., 08/2023
  • Data Science Professional Using Python, Infosys Ltd., 08/2023
  • Python Associate, Infosys Ltd., 08/2023
  • SAP Commerce Cloud Developer, SAP, 06/22/23
  • SAP Commerce Cloud Business User, SAP, 05/10/23
  • SAP Commerce Cloud Developer, Infosys Ltd., 05/2023
  • Advanced Deep Learning Professional, Infosys Ltd., 05/2023
  • Advanced Machine Learning Professional, Infosys Ltd., 05/2023
  • Expert Machine Learning Professional, Infosys Ltd., 05/2023
  • Java SE 8 Developer, Infosys Ltd., 03/2023
  • Fundamentals of Deep Learning, NVIDIA Deep Learning Institute, 04/08/22
  • Building Transformer-Based Natural Language Processing Applications, NVIDIA Deep Learning Institute, 04/09/22
  • Programming, Data Structures And Algorithms Using Python, NPTEL, MHRD Govt. of India and IIT Madras, 01/2020
  • Data Science for Engineers, NPTEL, MHRD Govt. of India and IIT Madras, 01/2020
  • Data Analytics with Python, NPTEL, MHRD Govt. of India and IIT Roorkee, 01/2020
  • Introduction to Machine Learning, NPTEL, MHRD Govt. of India and IIT Madras, 01/2020
  • NBA Accreditation and Teaching - Learning in Engineering (NATE), NPTEL, MHRD Govt. of India and IISc Bangalore, 01/2020
  • Sequence Models, deeplearning.ai, 06/01/20
  • Applied Machine Learning in Python, University of Michigan, 05/30/20
  • Introduction to Data Science in Python, University of Michigan, 05/20/20
  • Structuring Machine Learning Projects, deeplearning.ai, 05/16/20
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, deeplearning.ai, 05/15/20
  • Convolutional Neural Networks, deeplearning.ai, 05/13/20
  • Neural Networks and Deep Learning, deeplearning.ai, 05/09/20
  • Deep Learning, NPTEL, MHRD Govt. of India and IIT Kharagpur, 10/2019
  • Practical Machine Learning with Tensorflow, NPTEL, MHRD Govt. of India and IIT Madras, 10/2019
  • Machine Learning for Engineering and Science Applications, NPTEL, MHRD Govt. of India and IIT Madras, 04/2019
  • Joy of Computing Using Python, NPTEL, MHRD Govt. of India and IIT Ropar, 04/2019
  • Deep Learning, NPTEL, MHRD Govt. of India and IIT Madras, 10/2018
  • Deep Learning for Visual Computing, Indian Institute of Technology, Kharagpur, 07/2017
  • Microsoft Dot Net Architecture and Framework, Tata Consultancy Services Ltd., 02/24/12
  • Mission 10X Workshop, Wipro Technologies Ltd. and ISTE, Bengal Institute of Technology, 02/22/10
  • Entrepreneurship Development for Faculties, Indian Institute of Technology and AICTE, Kharagpur, 04/11/09
  • Campus Connect Faculty Enablement Program, Infosys Technologies Ltd., 11/20/09

Timeline

Principal Consultant

Infosys ltd.
11.2022 - Current

Assistant Professor

Bengal Institute of Technology
01.2007 - 11.2022

Assistant System Engineer - TRAINEE

TATA CONSULTANCY SERVICES
08.2006 - 01.2007

Lecturer

Narula Institute of Technology
12.2005 - 08.2006

PhD - A GENERIC FRAMEWORK FOR DEEP LEARNING BASED DETECTION AND CLASSIFICATION OF EYE DISEASES

Aliah University

M. Tech. - Information Technology

Calcutta University

B. E. - information technology

Govt. College of Engineering & Ceramic Technology

Higher Secondary -

St. Xavier’s College

Secondary -

Mitra Institution (Bhowanipore)
Dr. Nilarun Mukherjee