Amit Dubey

Biography:

Amit Dubey is a seasoned technology leader with over two decades of experience in the software, data science industry. As the Chief Technology Officer at Dataflux.ai and Data science manager at Agilent technologies, he has demonstrated expertise in digital transformation, cloud computing, and emerging data science technologies. Amit's career spans roles at prestigious organizations like Agilent Technologies, Boeing, Fiserv, Accenture, Egon Zehnder, Airbus GMBH, where he honed his skills in data Science, solution architecture and technology consulting. Beyond his technical prowess, Amit is passionate about mentoring and developing talent, actively participating in various technology communities. He is a frequent speaker at industry events and has contributed to publications on digital innovation. In his spare time, Amit enjoys outdoor activities and is an avid photographer. His unique blend of technical depth, leadership experience, and diverse interests makes him well-suited to engage with the IEEE workshop audience, offering insights that bridge the gap between cutting-edge technology and practical business applications.

Professor San Murugesan

Biography:

Professor San Murugesan is the Director of BRITE Professional Services in Sydney, Australia. and Editor in Chief of IEEE Intelligent Systems. He is also an adjunct professor at the School of Computing at Western Sydney University and an honorary professor at Amity University. Murugesan has an extensive background in academia and industry, having previously worked as a Senior Research Fellow at NASA Ames Research Center and held senior positions at Southern Cross University and the Indian Space Research Organization (ISRO).

Murugesan's expertise covers a broad spectrum of areas in information technology, including smart systems, sustainability, artificial intelligence, autonomous systems, green computing, cloud computing, and the Internet of Things (IoT). He has authored and co-edited several books, including "Encyclopedia of Cloud Computing" and "Harnessing Green IT: Principles and Practices." Murugesan is a distinguished speaker of the ACM and IEEE and has been recognized with numerous awards, such as the IEEE Computer Society's Distinguished Service Certificate, for his significant contributions to the field. He is a Life Senior Member of IEEE and Golden Core Member of the IEEE Computer Society.

In addition to his academic and research contributions, Murugesan has been actively involved in organizing conferences, delivering keynotes, and providing consultancy services. He holds a PhD from the Indian Institute of Science, an MTech from the Indian Institute of Technology Madras, and a BE (Honours) from PSG College of Technology.

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Dwith Chenna

Biography:

Dwith Chenna is working as Member of Technical Staff, Product Development, AI Inference at AMD. He is a highly experienced research and development professional with a focus on algorithm development and optimization in computer vision, deep learning, and Edge AI. Over the past decade, he has honed his expertise in creating state-of-the-art, performance-critical perception systems, particularly on resource-constrained hardware like Digital Signal Processors (DSPs). His work is centered on optimizing deep learning models to enhance efficiency and accuracy, while also addressing key performance metrics such as latency, memory usage, bandwidth, and power consumption. Dwith’s career includes significant roles at prestigious organizations such as Magic Leap, the FDA’s Center of Devices and Radiology Health, and AMD. His contributions, including advancements in augmented reality and non-contact fever screening, have been instrumental in solving complex real-world challenges. Beyond his technical prowess, Dwith is a recognized leader in the technology community, serving as a technical committee member, reviewer for leading conferences, judge for AI excellence awards, and a speaker at major technology summits.

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Dr. Siddhartha Bhattacharyya

Biography:

Dr. Siddhartha Bhattacharyya earned his Bachelor in Physics, Bachelor in Optics and Optoelectronics, and Master in Optics and Optoelectronics from the University of Calcutta, India, in 1995, 1998, and 2000, respectively. He completed his PhD in Computer Science and Engineering from Jadavpur University, India, in 2008. He is the recipient of the University Gold Medal from the University of Calcutta for his Masters. He is the recipient of several coveted awards, including the Distinguished HoD Award and Distinguished Professor Award conferred by the Computer Society of India, Mumbai Chapter, India, in 2017, the Honorary Doctorate Award (D. Litt.) from The University of South America, and the South East Asian Regional Computing Confederation (SEARCC) International Digital Award ICT Educator of the Year in 2017. He has been appointed as the ACM Distinguished Speaker for 2018-2020. He was inducted into the People of ACM Hall of Fame by ACM, the USA, in 2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for 2021-2024. He has been elected as a full foreign member of the Russian Academy of Natural Sciences (RANS) and the  Russian Academy of Engineering (REA). He has been elected a full fellow of The Royal Society for Arts, Manufacturers and Commerce (RSA), London, UK.

Vipul Bharat Marlecha of Netflix

Biography:

As a seasoned Senior Data Engineer, I bring over 8 years of immersive experience in the dynamic realm of large-scale data engineering. With a proven track record, I specialize in developing robust streaming and batch processing pipelines, constructing comprehensive data lakes, and implementing cutting-edge data engineering practices within organizations.

Currently, I am spearheading transformative projects at Netflix as part of the Open Connect team. Here, I am tasked with architecting and deploying large-scale real-time and batch pipelines. These pipelines serve as the backbone for Netflix's Open Connect data, which is instrumental in optimizing various facets of video streaming. From enhancing streaming algorithms to refining CDN-level TCP connections, my contributions are pivotal in elevating user experience and operational efficiency.

Prior to my tenure at Netflix, I held similar roles at Twitter and Doordash, where I leveraged my expertise to drive impactful initiatives that fueled innovation and growth. In essence, my career is defined by a relentless pursuit of excellence and a passion for leveraging data to solve complex challenges. With each project, I aim to push boundaries, deliver tangible results, and shape the future of data engineering in the digital landscape.

Aqsa Fulara of Google

Biography:

Aqsa is a ML product manager at Google. focusing on B2B, Cloud and Business Intelligence products. In her 7 years at Google, she has delivered proven business impact, growing products and driving adoption, by taking a customer centric approach and solving problems creatively. A judge, author and speaker, she also mentors aspiring PMs and startup founders. She is based out of Los Angeles, and enjoys beaches and brunches.

Anupam Mukherjee

Biography:

Anupam Mukherjee is an academician and researcher with 18 years of experience in the field of Computer Science and Engineering. Currently, he serves as the Assistant Professor and Head of the Department at Siliguri Institute of Technology, West Bengal.

Anupam's academic journey began with a Bachelor of Technology (B.Tech) in Computer Science and a Master of Technology (M.Tech) in Computer Science and Engineering, securing a third rank in university. He has submitted his PhD in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology, West Bengal. Throughout his career, Prof. Mukherjee has demonstrated a strong passion for research, with a focus on Machine Learning, Soft Computing, Pattern Recognition, and Image processing. He has published numerous papers in peer-reviewed journals and conferences, including the prestigious Springer Nature and IEEE. His work has been recognized globally, with citations in top-tier publications. His teaching experience spans over 18 years, during which he has mentored students in various capacities, including project guidance, research supervision, and academic counseling. He has also held various administrative positions, such as Head of Department, Member of Board of Governing Bodies, and Academic Coordinator, showcasing his leadership and organizational skills. Anupam Mukherjee is an active member of several scientific and professional societies, including the International Association of Engineers (IAENG) and the INDO-EUROPEAN Scientific Research Group. He has also participated in various workshops, seminars, and faculty development programs to stay updated with the latest developments in his field. As a dedicated educator and researcher, he strives to contribute significantly to the field of Computer Science and Engineering. His commitment to academic excellence and innovative research has earned him recognition and respect from his peers and students alike.

Raghavan Muthuregunathan

Navigating and contributing to new codebases is a daunting challenge, especially for newcomers to open-source projects. Unlock the power of efficient code contribution with CodeBaseBuddy, a tool that's helping how developers tackle unfamiliar repositories. In this talk, we'll dive into the innovative combination of Retrieval Augmented Generation (RAG), Codestral, and Ollama to create a privacy-preserving, locally deployable semantic code search solution. Discover how this system accelerates onboarding, reduces errors, and enhances community engagement in open-source projects. CodeBaseBuddy provides step-by-step guidance and specific pointers for modifying files, transforming the experience of working with complex codebases. Whether you're a seasoned developer or new to the field, you'll learn how this tool can streamline your coding process and boost productivity. Join us to explore the future of collaborative coding and see firsthand how CodeBaseBuddy is making intricate codebases more accessible than ever before.

Biography:

Raghavan Muthuregunathan is a senior engineering manager, leading the Linkedin Search AI team. Earlier, he worked at Microsoft Bing.  He is also a volunteer and contributor to Open Source initiatives by Linux Foundation's LF AI + Data , specifically to GenAICommons.org and Apache Solr. He is also an active hackathon participant on lablab.ai and have won multiple hackathons on the lablab.ai platform.

Meenal Nalwaya

Biography:

Meenal Nalwaya is an accomplished Product leader currently leading generative AI initiatives at Meta. With expertise in CV and AI/ML, she is building multimodal understanding and reasoning functionalities in Llama models for Meta AI, Meta's virtual assistant. Meenal also led the launch of the mixed reality passthrough Quest 3, a "why buy" feature that blends real and virtual worlds.

Before joining Meta, Meenal held senior product management roles at Amazon, where she built the first inventory management and alerting systems for Prime Now, spearheaded the global launch of developer publishing tools, and built innovative smart home products across Fire TV/Tables/Alexa Devices.  

Meenal began her career in media (The Economist Group) and strategy consulting with Strategy& (formerly Booz & Co.). She is a graduate of INSEAD (MBA), Columbia (Operations Research / Data Science), and IIT Delhi (Engineering).