Partha Majumdar is the Managing Director of Majumdar Consultancy Pvt Ltd, a distinguished career that spans various countries and industries. With a keen eye for pattern recognition, he has overseen the development of over 10 Enterprise Class products deployed across 57 countries. He has collaborated closely with key ministries in 8 nations and more than 20 enterprises, leaving a significant mark at organizations such as Siemens, Amdocs, NIIT, Mobily, and JP Morgan Chase & Co. notably, he not only led system development but also managed highly profitable business units. Partha’s entrepreneurial spirit is evident as he successfully established three companies by 2023, operating in India, Dubai, and Saudi Arabia. His expertise extends to designing OLTP systems for diverse sectors, including Telcos, Hospitals, Tea Gardens, Factories, Travel Houses, and even Cricket tournaments. Since 2012, Partha has been deeply immersed in Data Products, Machine Learning, and Deep Learning, consistently contributing his pattern-finding skills to the development of Rapid Development Tools. Partha’s unwavering commitment to lifelong learning is underscored by his educational journey, which began with a Mathematics degree and culminated in a Doctorate in Business Administration from the Swiss School of Business and Management in Geneva. Along this remarkable path, he earned master’s degrees in Telecommunications and Computer Security, executive MBAs in Information Systems and Business Analytics, and advanced certificates in AI/ML/DL, Cyber Security, and Computational Data Sciences from esteemed institutions, including Manipal Academy of Higher Education, IIT Kanpur, and IISc Bengaluru.

A finance and business strategy professional with expertise in taxation, financial planning, and operational optimization. Focused on driving sustainable growth by improving profitability, strengthening compliance, and streamlining business processes. Supports clients with practical, data-driven financial and sales solutions that enhance decision-making, accelerate performance, and build long-term resilience.

An experienced agriculture professional with a strong background in agriculture, horticulture, and crop protection, along with expertise across allied agri-sectors. Skilled in supporting farm productivity through practical, field-driven solutions—spanning crop health management, sustainable practices, and stakeholder coordination. Focused on improving yields, quality, and long-term resilience in agricultural systems.

Dr. Galiveeti Poornima is a distinguished academician and researcher specializing in Machine Learning (ML) and Deep Learning. With a Ph.D. in Computer Science from Presidency University, Bengaluru, she has devoted her research to pioneering advancements in Signed Language Recognition, particularly for Indian Sign Languages. Her expertise extends to the application of ML and AI in healthcare, IoT, and cybersecurity, where she has contributed significantly to the development of intelligent systems for medical diagnostics and social media analytics.

Dr. Himadri B. Bohidar is currently associated with National Center for Excellence in Agro- nanotechnology TERI-Deakin Nanobiotechnology Center, Gurgaon, NCR. He received his Ph.D. Degree in Physics from Indian Institute of Technology, Delhi in 1981 and earned Academic Experience of 31 years in Teaching & Research. Then earned Administrative Experience in JNU for 8 Years. He is having 12 Years of Administrative Experience at National Level. His Area of Expertise includes Nanoscience and Nanotechnology, Nano-bio interface science, Soft Matter Science, Polymer Physics, Biophysics. He has 221(h index: 28) Publications in International Journals and author of 2 Books i.e., Polymer Physics and Molecular Biophysics: Cambridge University Press, 2014, UK, and Self-Assembly of Nanoparticles: Wiley- VCH, Berlin, Germany, 2017). He has filed 9 Patents (one granted). He has supervised 23 Ph.D. students in his career till now. Externally funded Projects Handled is of Rs. 207 lakhs (from DST, DBT and SERB).

He received his Ph.D Degree in Carbon based Nanomaterials from IIT, Bombay in 1997 and earned his postdoctoral from University of Namur (Belgium) 1997-1998 and Nagoya University (JAPAN) in 1998-1999 under JSPS Program. Then joined as a Research Scientist in DMSRDE, DRDO, Kanpur in 1999. He is having 28 Years of Experience in the field of Carbon based Nanomaterials. His Area of Expertise includes: Synthesis and Application of Carbon based Nanomaterials. He is the author of 78 peer reviewed journal papers, 7 book chapters and have 19 granted patents. He is recipient of DRDO Young Scientist Award 2001 and B. D. Bangur Award 2019 from Indian Carbon Society.

Prof S. A. Abbasi has been a Full University Professor and centre director during 1987-2015 and is an Emeritus Professor since then. Prior to it he was Head-in-charge of the Water Quality & Environment Division at the Centre for Water Resources, Kozhikode (1979-87), and a Visiting-cum-Adjunct Professor at California State University (1984-1987). He has also been a Visiting Professor at the universities of Minnesota, Florida, California−Berkeley, Malaya and Al-Ahsa. With 46 books, over 400 papers in indexed journals, 10 patents, over 19,500 citations and a Hirsch Index currently at 75, Prof Abbasi is among the world’s foremost experts in the fields of process safety and environmental engineering. In the recent Stanford University study, he was ranked among the world’s top 0.5% scientists, and among the top 100 Indian scientists, independent of the area of specialisation. Among numerous coveted honours and awards received by him are the National Design Award in Environmental Engineering, the IPCL award for Safety and Hazard Management in Petroleum Industries, the National Hydrology Award, the International Desalination Association’s prize, and fellowships of the National Academy of Sciences and the Indian Institute of Chemical Engineers

Mr. Keshan is an AI/ML researcher, educator, and technologist with an M.Tech in AI & ML and 10+ years of teaching experience. His expertise spans Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Agentic AI, and Quantum Computing. Over the past three years, he has actively mentored students and professionals across India, the UK, Belgium, and the USA, delivering application-driven courses focused on conceptual clarity and hands-on learning. He also leads free AI education initiatives for underprivileged girls globally, using technology to create meaningful social impact

Dr. Anupriya Rana was working as “Scientist B” in the department of Patanjali Herbal Research Division, Patanjali Research Foundation, Haridwar, India. She received her Ph.D. Degree in Botany (Nanotechnology) from Gyan Vihar University, Jaipur in 2024. She has been an alumna of University of Delhi, Gargi College, 2016 batch and received an academic silver medal in her Masters in 2018. She had more than 6 years of research (Scientist B, Research Associate and DST Research Fellow) and academic experience. Her specialization is in Plant Nanotechnological research, Project coordination, Agri-Product Marketing, botanical studies, plant morphophysiological stress and mutations, Plant tissue culture and Biosynthesis. She has published 4 original articles and 1 book chapter.

Prakriti Sharma is an AI mentor, engineer, and Founder of Chaifluence, where she applies AI to build innovative and authentic influencer marketing strategies. Currently an AI Engineer at Tata Consultancy Services, she collaborates with Google’s Business Unit to develop generative AI models focused on responsible, high-impact solutions. A strong advocate for AI ethics, she also holds certifications including Google Cloud Professional Engineer. A Delhi University computer science graduate and former Robotics Club President, she mentors aspiring AI professionals and organizations adopting AI responsibly.

Dr. Teena is a law academic and researcher with an LL.M. in Corporate Laws from Bhagat Phool Singh University, Sonepat, and a PhD (2019) from Amity University Gurugram. A UGC-NET (Dec 2014) qualified professional, she is recognized for innovative teaching and research excellence, including the Chancellor’s Award for Excellence in Innovative Teaching Pedagogy at K.R. Mangalam.

A motivated, detail-oriented Data Science enthusiast with hands-on experience building and deploying machine learning and NLP solutions. Proficient in Python, data preprocessing, and model optimization, with a focus on turning complex data into actionable insights. Experienced in creating interactive Streamlit dashboards to showcase AI applications clearly and effectively. Currently seeking an internship or entry-level role in Data Science or AI Engineering to contribute analytical thinking, creative problem-solving, and strong collaboration skills in an innovation-driven team.