Turn ideas into research projects

Nisha Talagala is the CEO and founder of AIClub. Nisha co-founded ParallelM which pioneered the MLOps practice of managing machine learning in production. Nisha is a recognized leader in the operational ML space with more than 20 years of expertise in software development, distributed systems, technical strategy and product leadership. Nisha earned her PhD at UC Berkeley where she did research on clusters and distributed systems. Nisha co-chairs the annual conference on production machine learning (OpML). Nisha holds 68 patents in distributed systems and software, is a frequent speaker at industry and academic events, and is a contributing writer to Forbes Online/Cognitive World and other publications.

Amit Gupta is the Head of Products at AIClub. Amit has 20+ years of expertise in large-scale distributed systems design and development, and he was previously co-founder and CTO at Andale and Jasper. He holds a Ph.D. from the University of California at Berkeley, and has 50+ patents covering various aspects of Computer Networking, Distributed Systems, and Security.

Sindhu Ghanta received her M.S. degree from Texas Tech University in 2010 and her Ph.D. degree in electrical and computer engineering from Northeastern University, Boston, USA. She was a Post-Doctoral Fellow with BIDMC and the Department of Pathology, Harvard Medical School, where she was involved in detection and classification of features from histopathological images. She worked as a research scientist with Parallel Machines on monitoring the health of ML algorithms in production and has many publications on ML innovations. She currently works as the Head of Machine Learning at AIClub.

Swaminathan (Swami) Sundararaman is the CTO and co-founder at Pyxeda.ai. Swami is a leader in operational machine learning, edge computing, distributed systems and storage systems. He has 10+ years of expertise in software development and machine learning. Swami holds a Ph.D. from the University of Wisconsin-Madison, and has 30+ patents in Distributed Systems, Operating Systems, Non-Volatile Memory, and storage systems. Swami co-founded the OpML and HotEdge conferences that foster upcoming innovations in operationalizing ML/DL models in production and edge computing, respectively. He serves on the steering committee and program committees of multiple technical conferences.

Venkata Duvvuri is currently a Director of Data Science at Oracle Corporation and an adjunct faculty member at Northeastern University, where he teaches data analytics and machine learning. He is a results-oriented leader in data science, business analytics, digital media analytics, and web marketing optimization, with over 10 years of experience in these fields, in addition to 10 years of software engineering experience. He has held leadership roles ranging from Director to Manager at Fortune 100 companies, including marketing agencies, and has successfully managed both onshore and offshore teams. As a cross-functional leader and subject matter expert in machine learning, he has driven multimillion-dollar improvements in business and online marketing outcomes at Oracle, eBay (Triad Retail Media), Conversant (Alliance Data), and AT&T (Cricket Wireless), and has worked with large-scale data at Apple Corporation. Venkata holds a Ph.D. in Leadership and Innovation from Purdue University, a Master’s in Computer Science from the University of Massachusetts – Amherst, and an MBA from the University of California – Davis

Bharath Ramsundar, PhD is the founder and CEO of Deep Forest Sciences, a start-up working to accelerate the use of AI in deep tech. Dr. Ramsundar is also the lead maintainer of the DeepChem project, an open source consortium working to build software for open source medicine discovery. Bharath previously co-founded Computable, a venture-backed start-up building better tools for collaborative dataset management. Dr. Ramsundar has a Computer Science Ph.D. from Stanford University. His research and professional interests include the application of deep learning in drug discovery. Bharath is the lead author of “TensorFlow for Deep Learning :From Linear Regression to Reinforcement Learning”, a developer’s introduction to modern machine learning, with O’Reilly Media, and the lead author of “Deep Learning for the Life Sciences”.

Smriti H. Bhandari is an accomplished researcher and educator with over 28 years of experience in Computer Vision, Machine Learning, and Database Systems. She holds a PhD in Computer Science and Engineering and has held leadership positions at prominent engineering colleges. Smriti has developed and delivered numerous courses and workshops in data science and deep learning, and served as the principal investigator on government-funded projects with applications in medicine and industry. She has received prestigious fellowships, including the Women Scientist and Young Scientist Fellowships, and has published extensively in her field. Smriti also brings industry experience as a freelance researcher and developer.

Vani Kandasamy has a PhD in Information and Communication Engineering from Anna University, Chennai. Her research is focused on applying machine learning techniques to analyze large-scale datasets, resulting in several publications in reputable journals and conferences. She has 10 years of teaching experience as an Assistant Professor at PSG College of Technology. During her tenure as an Assistant Professor, she developed and taught courses on topics such as Computer Vision, Natural Language Processing, Social Network Analysis and Data Privacy. Her ability to convey complex concepts in a clear and engaging manner, fostering a collaborative learning environment, has inspired students to excel in their studies.