Dr. Shiv Kumar Verma is a Professor in the Department of Computer Science and Applications at Sharda University. He earned his PhD in Mathematical Computing from IIT Roorkee (2014) and completed his postgraduate studies in Computer Applications from IIT Roorkee. With 25 years of experience across mathematics and computer science, his expertise includes machine learning, medical imaging, and mathematical computing, with strong experience in teaching, research, and academic leadership.

Dr. Debashree De is a seasoned scientific writer (Ex-novartis) with 15 years of research experience. She received her Ph.D. Degree in Structural Biology and Biochemistry from CSIR-Indian Institute of Chemical Biology in 2012 and earned her postdoctoral from Centro di Rierca E. Menni, Fondazione Poliambulanza- Istituto Ospedaliero, Brescia, Italy. She worked as a Scientific Research Writer and Lead Development Manager for BrainAura, a startup company based out of India and the UK and also as a senior scientific writer in novartis. She has 15 Years of Experience in the field of peptide biochemistry. Her area of expertise includes: Structural biology and biochemistry, Scientific writing, Real World Evidence. She is the author of 14 publications (manuscripts, reviews, book chapters) with one of her review article on her research being the focus of a news article . She is also the member of prestigious peptide societies, reviewer of journal PlosOne as well as the recipient of CSIR and ICMR senior fellowships. She has successfully optimized methodologies for the study of amyloid beta aggregate destabilization on Surface Plasmon Resonance (published).

Dr. Subas Chandra Dinda is a Professor & Dean in the School of Pharmacy at The Neotia University, Kolkata, West Bengal, India. He received his Ph.D. Degree in Pharmacy (Pharmaceutical Technology) from Jadavpur University in 2008 and honored with Life Fellow (F.I.C.) in 2008 from Institution of Chemists (India). Then worked as a Professor of Pharmaceutics/Pharmaceutical Technology in different Institute/University in India and abroad i.e., in Ethiopia for more than 25 Years. He is having 26 Years of Teaching-cum-Research Experience in the field of Pharmaceutical Technology. His Area of Expertise includes: Design and Development of Drug Delivery and Drug Targeting Systems such as Matrix, Gastro-retentive, Mucoadhesive and Nanotechnology based drug formulations for sustain and controlled drug delivery in drug targeting. He is the author of the book “Advances in Pharmaceutical Technology”, published more than 125 research articles in peer reviewed journals, supervised & awarded more than 25 Ph.Ds. under Berhampur University, Odisha, and recipient of many awards such as “Gold Medal for B.Pharm – 1996”; “Priyadarshini Indira Gandhi Award – 2005”; “Arch of Excellence (Education) Award – 2005”; “ISTE’S Rajalaxmi Memorial Best Teacher Award for Orissa State – 2006”; “APP’S Distinguished Teacher Award – 2015”, “VDGOOD’S Outstanding Scientist Award – 2019”, “APP’S Best Achiever (for Teaching & Research) Award – 2020”, and “Shiksha Bharati Award – 2021”.

I am Saurav Singh, a results-driven Consultant and Mentor with over 3 years of experience in innovation-based education, mentoring, and public policy. I have served as a Regional Mentor of Change under Atal Innovation Mission, NITI Aayog, where I guided over 50 Atal Tinkering Labs and mentored more than 3000 students in innovation, design thinking, and entrepreneurship projects across Bihar and Jharkhand.

With a strong background in technology, education strategy, and social innovation, I have contributed to the development of innovation ecosystems and policy research. I am passionate about driving data-driven program management and am eager to contribute to Wadhwani Foundation’s mission of fostering innovation and employability.

I am currently focusing on UPSC preparation with a special interest in public policy and governance, while continuing my work as an independent consultant in education and innovation projects.

I am Priyanshu Mohanty, a B.Tech student in Electronics and Telecommunication Engineering at IIIT Bhubaneswar, with strong interest and hands-on experience in Generative AI, Agentic AI, Machine Learning, Deep Learning, and AI application development.

I have worked as a Gen AI Intern at Fastpeer AI and AI Developer Intern at Code-X-Novas, where I built RAG pipelines, autonomous AI agents, AI microservices, and agentic workflows using tools such as LangChain, LangGraph, FastAPI, Neo4j, GPT-4o, OpenAI API, HuggingFace, and Groq.

My project experience includes developing an AI Dining Concierge, an Autonomous AI Carrom Agent, and a Smart Attendance System using AI, computer vision, reinforcement learning, and cloud-based integration. I am passionate about building scalable, intelligent AI systems that solve real-world problems through automation, reasoning, and data-driven decision-making.

Sakshi Tapare is an AI & Data Engineer based in Navi Mumbai, India, with experience in ML pipelines, LLMs, RAG systems, ETL workflows, backend architectures, and AWS cloud-deployed data solutions. She is currently working as a Data Engineer at K.B. Ajmera, where she designs backend data pipelines, automates inventory and invoice workflows, builds natural-language SQL assistants, and integrates AI-powered automation into production systems. She has also worked as an Executive Data Analyst and Application Specialist, with hands-on expertise in Python, SQL, FastAPI, LangChain, AWS, Power BI, Tableau, Streamlit, Docker, and MLOps.

Dr. Debasish Sarkar is a Professor in the Department of Ceramic Engineering at the National Institute of Technology, Rourkela, India. He received his Ph.D. degree in Ceramic Engineering from the National Institute of Technology, Rourkela, India, in 2007. He earned his postdoctoral from the Korea Research Institute of Standard and Science, Daejeon, South Korea. He then worked as a Professor at NIT for 14 Years. He has 26 Years of Experience in Nanoceramics, Bioceramics, and High-Temperature Ceramics. His Area of Expertise includes: Nanoparticles, Ceramic Processing and Fabrication, Microstructure and Mechanical Properties Simulation, and Design and Analysis of Structural Ceramics. He is the author of peer-reviewed 65 SCI publications, four books (CRC Press, Springer-Nature, Wiley), five book chapters, 6 National and International Patents, Govt. of India and Industry sponsored projects with a cost of more than Rs.3.5 crore, and recipient of the MRSI medal 2016, and many more.

Dr. Chakravarthi Mohan is currently working as General Manager, certifications at the Indian society for certification of organic products (ISCOP), Coimbatore, Tamilnadu. He received his Ph.D. degree in Biotechnology from Bharathiar University in 2015 and earned his postdoctoral fellowship from the Federal University of Sao Carlos during 2016 -2020. In 2021, he joined ISCOP as a Quality Manager. He has 15 Years of Experience in the field of Biotechnology. Her/his Area of Expertise includes genetic engineering, protein expression, and bioinformatic analysis of big data. He is the author of 40+ publications in journals of high repute with 1100+ citations and a recipient of international grants and a visiting scientist fellowship at the University of Florida, USA.

I am Rahul Parashar, a Law Faculty and Legal Educator based in Rohtak with experience in teaching and mentoring students for Judiciary, CLAT, AILET, and other competitive law examinations.
I specialize in major law subjects such as Constitutional Law, IPC, CrPC, CPC, Evidence Act, Contract Act, Torts, and Corporate Laws. My work includes delivering classroom and online lectures, preparing study material, designing mock tests, conducting doubt sessions, and tracking student performance.
I hold a Bachelor of Arts from University of Delhi, Bachelor of Laws from PDM University, and Master of Laws in Corporate Laws from Maharishi Dayanand University. My focus is on concept-based teaching, structured legal content development, and helping law aspirants build strong exam-oriented preparation.

Dr. R.R. Karthieka currently serves as a Research Scientist at Silveray Ltd., United Kingdom. She earned her Ph.D. in Physics, specializing in Nanoscience and Nanotechnology, from the University of Madras in 2023. With eight years of research experience, her expertise is centered on the preparation, characterization, and fabrication of low-dose X ray detectors.Her research focuses on the development of inorganic nanostructured materials with varied morphologies, including perovskite-based semiconductors, polymer-based nanocomposites,biomaterials, and metal oxide nanomaterials.Dr. Karthieka got hands on experience in the synthesis of nanomaterials through various methods and trained many post graduate students during her doctorate degree. Additionally, her industrial expertise in thin-film fabrication for organic photovoltaic (OPV) and organic photodetector (OPD) devices development, experience on various large area coating techniques, translating theoretical knowledge into industrial application.

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.

I am Gopika Sree, a Data Science and Machine Learning professional with 12 years of experience in training, full stack development, and machine learning application development. I specialize in Python, Data Science, Machine Learning, Django, React.js, database integration, NLP, Generative AI, and Large Language Models.

I have worked as a Data Science and Python Full Stack Trainer at Millennium Software Solutions and as a Machine Learning App Developer at Arcis AI India Private Limited. My experience includes delivering technical training, guiding real-world projects, building ML applications, and helping learners develop practical, job-ready skills.

I am passionate about creating end-to-end ML workflows, web applications, data-driven solutions, and real-time prediction systems, with a strong focus on practical learning and industry-oriented outcomes.