High 15 GenAI Leaders to Meet in India in 2025

Generative AI is having its “iPhone second” in 2025 – a disruptive leap redefining how we construct and work together with clever methods. On the forefront of this revolution are visionary leaders from various domains, every pushing the boundaries of AI in distinctive methods. 

From open-source innovators to enterprise AI architects, these GenAI leaders mix deep technical experience with inspiring management. Beneath, we highlight 15 GenAI luminaries—their area of interest specializations, groundbreaking tasks, profession milestones, and the fervour that makes them stand out. 

Whether or not you’re a developer, pupil, government, or tech fanatic, prepare to fulfill the GenAI specialists & Agentic AI specialists lighting the way in which. Their tales showcase not solely cutting-edge applied sciences but in addition the human drive to show concepts into actuality. Every profile is a supply of inspiration and perception, reflecting why these people are famend within the GenAI discipline.

High GenAI Leaders to Meet in India in 2025

Dr. Kiran R

Dr. Kiran R is a polymath in observe, a Kaggle Grandmaster, prolific inventor, and seasoned engineering chief, all rolled into one. As Vice President of Engineering at Oracle, he presently spearheads a GenAI-first product suite inside Oracle’s healthcare division, constructing AI-powered options on a large cloud infrastructure. 

Kiran’s prior tenure at Microsoft noticed him on the helm of one of many decade’s most groundbreaking merchandise: he was Accomplice Director & GM main the engineering of Microsoft’s Copilot initiatives. In that function, he guided the groups integrating GPT-powered copilots into instruments like Workplace and Azure, successfully bringing generative AI to thousands and thousands of customers.

An utilized ML knowledgeable, Dr. Kiran has a observe report of taking AI tasks from idea to manufacturing at scale, together with constructing enterprise MLOps platforms and scalable ML providers within the cloud. His profession additionally spans being Senior Director of ML at VMware, showcasing his versatility throughout domains. Past company roles, Kiran is a hands-on innovator: he holds 40+ US patents and even achieved a world rating of #7 on Kaggle’s world knowledge science competitors leaderboard. He’s extensively famend for his thought management (typically sharing greatest practices on utilized AI) and was acknowledged with awards like VMware’s CTO Award and Dell’s “Innovator of the Yr” for his contributions. 

Discover their full profile right here.

Dr. Qingyun Wu

Qingyun Wu stands on the slicing fringe of generative AI, the place educational rigor meets open-source innovation. She is the co-creator and co-founder of AG2 (previously AutoGen) – a number one open-source framework for AI brokers that has skyrocketed in reputation (over 700k month-to-month downloads and a 20k-strong developer neighborhood). 

With AG2, Qingyun spearheaded a brand new paradigm of AI the place a number of brokers collaborate, self-evaluate, and iterate to resolve advanced issues. Her work is actually reimagining how AI “thinks” along with people, a imaginative and prescient acknowledged by the broader AI neighborhood. Now an Assistant Professor at Penn State’s School of IST, Dr. Wu brings cutting-edge analysis into the classroom and lab, specializing in multi-agent methods and accountable AI. 

She earned her Ph.D. in Pc Science from the College of Virginia in 2020 and has already garnered high honors – together with a SIGIR Finest Paper Award and the Finest Paper at ICLR 2024’s LLM Brokers Workshop. Qingyun’s area of interest experience lies in LLM-based agent orchestration: how giant fashions will be made to converse, motive, and work in groups to attain objectives. Her pioneering framework AG2, co-developed with collaborators from trade (Google DeepMind), has turn out to be a go-to instrument for builders constructing advanced AI agent purposes. 

Seize your seat at DataHack Summit 2025- she’s guiding a sensible workshop titled ‘Mastering Actual-World Agentic AI Purposes with AG2 (AutoGen)’.

Discover their full profile right here.

Dr. Joshua Starmer

Joshua Starmer, Ph.D., has turned statistics and machine studying right into a rockstar act – full with guitar riffs and crystal-clear explanations. Finest generally known as the creator of StatQuest, a wildly well-liked YouTube channel, he co-founded it right into a enterprise that makes advanced knowledge science ideas simple to understand. Josh’s expertise for demystifying matters like neural networks or p-values (typically via catchy songs or analogies) has made him a beloved determine within the AI neighborhood. 

However behind the enjoyable is deep experience: he holds a Ph.D. in Biomathematics and spent years in academia, which informs the rigor of his content material. He later bridged into trade, notably changing into the Lead AI Educator at Lightning AI (the corporate behind PyTorch Lightning), the place he developed academic assets to assist engineers and researchers use highly effective AI instruments. 

He even runs dwell workshops (as an example, coding a ChatGPT-like mannequin from scratch) to empower others to know generative AI underneath the hood. Acknowledged as a “honored determine in knowledge science”, Dr. His affect spans a world viewers of AI lovers who credit score StatQuest for conquering ideas as soon as discovered intimidating. And you’ll be part of this listing by becoming a member of his Hack Session on the DataHack Summit 2025 agenda- ‘Quantifying Our Confidence in Neural Networks and AI’.

Discover their full profile right here.

Anand S

Anand S wears the intriguing title of “LLM Psychologist,” and for good motive: he delves into the minds of enormous language fashions to know why they do what they do, nearly like a therapist for AI. He’s the co-founder of Gramener, a famend knowledge science firm recognized for its participating knowledge storytelling options. At Gramener, which was ultimately acquired by Straive, he helped construct instruments and tasks that translated knowledge into visible tales and insights for companies. 

Now at Straive, Anand continues to mix humor, perception, and AI in his work, embodying the function of a storytelling knowledge scientist. Anand’s area of interest is exploring LLM habits – he conducts experiments on how fashions reply underneath numerous prompts or circumstances, successfully charting their “persona” quirks. He shares these findings extensively, typically with a witty twist, by way of weblog posts, LinkedIn articles, and talks. In truth, Anand is an everyday TEDx speaker and is considered one in every of India’s high 10 knowledge scientists, reflecting his affect within the discipline. 

It’s inspiring to see his capacity to humanize AI – he treats LLMs not simply as black-box fashions however as entities whose strengths and failings we will analyze, chortle about, and be taught from. By doing so, he helps companies and builders construct higher, extra aligned AI methods. 

Discover their full profile right here.

David Zakkam

David Zakkam is a powerhouse in making use of AI and knowledge science at huge scale. With practically 20 years of expertise, he has led knowledge science and analytics groups throughout a few of the world’s most influential tech corporations. At the moment a Director of Knowledge Science at Uber, David is driving innovation in how the corporate optimizes its huge ride-sharing and supply community. 

His journey included key management roles at Swiggy and Meta (Fb), giving him a uncommon breadth of perspective on shopper tech, logistics, and social networks. David’s area of interest is fixing real-world issues with knowledge – whether or not it’s bettering meals supply occasions, enhancing social media experiences, or balancing Uber’s market in real-time. 

At Uber, for instance, he has been instrumental in utilizing machine studying for dynamic pricing, demand forecasting, and danger analytics that hold the platform environment friendly. He additionally navigated crises just like the pandemic by leveraging knowledge to adapt enterprise methods. Broadly revered in trade, David often shares insights on how knowledge science can optimize buyer experiences and clear up advanced challenges. 

Be a part of his insightful workshop ‘Agentic AI & Generative AI for Enterprise Leaders’ on the DataHack Summit 2025.

Discover their full profile right here.

Bhaskarjit Sarmah

Bhaskarjit Sarmah is proving that even on this planet’s largest asset administration agency, AI is usually a game-changer. A Director and Principal Knowledge Scientist at BlackRock, he leverages over 11 years of information science experience to drive smarter decision-making in finance. Bhaskarjit makes a speciality of making use of machine studying and community science to areas like liquidity danger analytics, securities lending, and market regime change detection – essential features in funding administration. 

By pioneering these ML options, he’s helped BlackRock uncover hidden patterns (for instance, recognizing pricing alternatives or early-warning indicators in markets) that give the agency and its shoppers an progressive edge. His technical prowess spans NLP and laptop imaginative and prescient as effectively, enabling him to extract insights from unstructured knowledge (assume monetary information or reviews) and switch them into actionable intelligence. 

However past technical achievements, Bhaskarjit stands out as a thought chief in Accountable AI and AI for finance. He has been acknowledged as a High 5 GenAI Chief in India and obtained NASSCOM’s AI Sport Changer award for his contributions. Equally captivated with training, he has taught round 12,000 learners in numerous packages, together with classes at prestigious institutes like MIT and NYU. 

Now you may have an opportunity to catch him dwell on the DataHack Summit 2025 for an interactive hack session on ‘Detecting and Mitigating Dangers in Agentic AI’.

Discover their full profile right here.

John Gilhuly

John Gilhuly champions a brand new frontier in AI: ensuring the clever creations are understood, measured, and trusted. As Head of Developer Relations at Arize AI, he focuses on open-source instruments for LLM observability and analysis, serving to builders monitor and enhance LLM efficiency. 

With a singular mix of technical acumen and enterprise perception, John interprets advanced AI monitoring strategies into accessible options. He beforehand led go-to-market efforts at startups like Slingshot AI and constructed technical groups at Department Metrics, giving him a broad perspective from code to buyer. John’s area of interest lies in evaluating AI brokers and LLMs, making certain they align with human expectations. 

Beneath his advocacy, Arize’s open-source tasks (like Phoenix for LLM tracing) are empowering the AI neighborhood to diagnose fashions’ “thought processes” and biases. Famend as an educator and neighborhood builder, John often shares insights on AI analysis – from convention phases to weblog posts – inspiring professionals to prioritize accountable, high-quality AI. Discover him on the DataHack Summit 2025 and attend his insightful hands-on workshop on ‘Constructing Actual-World LLM Brokers: Analysis, Optimization & Monitoring’.

By bridging builders with cutting-edge GenAI tooling, John Gilhuly helps form a future the place AI methods are as accountable and dependable as they’re highly effective.

Discover their full profile right here.

Alessandro Romano

Alessandro Romano is a dynamic GenAI innovator proving that enormous language fashions can drive affect throughout any trade. With over seven years of expertise, he has carried out LLM-powered options in domains starting from logistics to shopper apps.

At Kuehne+Nagel, a world logistics chief, Alessandro applies generative AI to optimize operations – for instance, constructing dynamic pricing fashions and clever provide chain brokers. He’s equally recognized for his ardour past the workplace: an achieved public speaker and neighborhood mentor, Alessandro demystifies AI via talks and workshops. 

Catch him dwell at DataHack Summit 2025- he’s working an action-packed, hands-on workshop on ‘Unleashing Multi-Agent Purposes with CrewAI’.

He {couples} robust theoretical foundations with a knack for sensible problem-solving. Lately, he’s been sharing his experience in Agentic AI, educating builders how autonomous brokers can collaborate utilizing frameworks like CrewAI. Alessandro’s area of interest is bridging the hole between cutting-edge AI analysis and real-world purposes.

Discover their full profile right here.

Miguel Otero Pedrido

Miguel Otero Pedrido believes that one of the best ways to be taught AI is by constructing it. As founding father of The Neural Maze, he has created a vibrant hub for hands-on machine studying tasks, the place advanced ideas are damaged down step-by-step with code, articles, and movies. 

His technical background spans pure language processing, laptop imaginative and prescient, and multimodal AI, with a particular concentrate on bringing AI assistants to life. As an illustration, Miguel leads workshops on constructing full-fledged multimodal brokers – like a voice-and-vision powered Telegram assistant that may speak, pay attention, and see. With experience in instruments like LangChain/LangGraph, vector databases, and diffusion fashions, he guides builders to assemble all of the items of an AI system. 

However Miguel will not be solely an engineer; he’s a mentor at coronary heart. He has mentored numerous aspiring engineers, emphasizing “going past tutorials” to create real-world affect. Beneath The Neural Maze banner, he shares free content material that helps others construct production-grade AI (together with addressing challenges like scaling and MLOps). 

Head to DataHack Summit 2025 and discover ‘Constructing Clever Multimodal Brokers: Integrating Imaginative and prescient, Speech & Language’ with him in a fascinating, hands-on format.

Discover their full profile right here.

Luis Serrano

Luis Serrano is on a mission to democratize AI training, one participating lesson at a time. A former Google YouTube staff engineer and Apple’s Lead AI Educator, Luis has a uncommon expertise for breaking down machine studying into pleasant, intuitive explanations. He based Serrano Academy as a web-based platform to convey machine studying information to everybody, typically via playful analogies, minimal math, and loads of real-world examples. His guide Grokking Machine Studying exemplifies this approachable model – guiding readers to turn out to be ML specialists utilizing solely high-school math and fundamental Python. 

Luis additionally ventured into the quantum realm as a analysis scientist at Zapata Computing, exploring algorithms that bridge AI and quantum computing. Now acknowledged as a Google Developer Knowledgeable in ML, Luis additionally reaches a world viewers by way of his well-liked YouTube channel (SerranoAcademy) the place he teaches matters like calculus, linear algebra, and LLMs with readability and enthusiasm. 

He maintains an inspiring message: anybody can be taught and leverage AI with the precise steerage, and you’ve got the possibility arising actual quickly.

Swing by DataHack Summit 2025 to dive into his sensible workshop, ‘From Newbie to Knowledgeable: Studying LLMs, Reinforcement Studying & AI Brokers’.

Discover their full profile right here.

Kartik Nighania

Kartik Nighania is a driving drive behind the scenes of GenAI – making certain that highly effective fashions don’t simply exist, however run effectively and reliably in manufacturing. As an MLOps Engineer at Typewise (a startup recognized for clever typing and textual content prediction), Kartik brings over seven years of AI expertise bridging laptop imaginative and prescient, NLP, and DevOps. 

His specialty is the “ops” aspect of AI: from constructing CI/CD pipelines for mannequin deployment to architecting infrastructure that may deal with real-time inference at scale. Kartik’s profession has spanned each startup and enterprise environments. He was previously Head of Engineering at Pibit.ai, the place he led AI-driven automation and scaled infrastructure for a rising firm. He additionally honed his abilities at HSBC, optimizing steady integration methods for machine studying – an important experience in industries like finance. 

His present focus at Typewise and in the neighborhood is LLMOps – the rising self-discipline of working LLMs effectively. In truth, Kartik typically shares methods on optimizing LLMs for pace, value, and accuracy, drawing from his hands-on work in tuning mannequin efficiency. He has a knack for making advanced deployments easy, and for integrating the newest generative fashions into real-world purposes (from good keyboards to multi-lingual chatbots).

Cease in at DataHack Summit 2025 and level-up together with his hands-on workshop, ‘LLMOps – Productionalizing Actual-World Purposes with LLMs‘.

Discover their full profile right here.

Raghav Bali

Raghav Bali is a prolific AI engineer and educator whose profession embodies the synergy of cutting-edge growth and information sharing. As a Principal Knowledge Scientist at Supply Hero (the worldwide meals supply large), Raghav designs and deploys machine studying options that function at world scale. From bettering advice engines to optimizing logistics with AI, his work instantly shapes how thousands and thousands of shoppers get their meals. However Raghav’s affect extends far past his firm. 

With a decade in knowledge science underneath his belt, he has authored seven+ books on AI/ML, protecting matters like generative modeling, NLP, and deep studying. These books (together with Generative AI with Python and PyTorch) are celebrated for translating advanced ideas into sensible tasks – empowering practitioners worldwide. Raghav’s area of interest is enterprise AI innovation fused with a ardour for educating. He has a wealthy portfolio of R&D work: from creating laptop imaginative and prescient and NLP methods to submitting patents on novel AI purposes. Acknowledged amongst India’s high knowledge scientists, he additionally contributes peer-reviewed analysis papers and speaks at worldwide AI boards. 

At Supply Hero, colleagues know him for implementing AI that tangibly improves consumer expertise and operational effectivity – all whereas making certain these improvements are well-communicated and understood by stakeholders. Famend as a humble chief and a mentor, he typically guides aspiring knowledge scientists like he might be doing on the DataHack Summit 2025.

Seize your seat- he’s guiding a sensible workshop titled ‘Mastering LLMs: Coaching, Advantageous-Tuning, and Finest Practices’.

Discover their full profile right here.

Manoranjan Rajguru

Manoranjan Rajguru is the form of AI knowledgeable who not solely builds superior options but in addition shapes the dialog round them. As an AI Architect at Microsoft, he makes a speciality of Generative AI and LLMs, serving to enterprises design and deploy AI methods responsibly. With over a decade of expertise in AI/ML, he has the uncommon distinction of getting excelled in each tech giants and the broader neighborhood. Previous to Microsoft, he served as a Knowledge Scientist at Amazon, tackling issues on the intersection of retail and AI. 

His writing demystifies advanced matters (from the newest in GPT fashions to greatest practices in mannequin deployment) and has considerably influenced aspiring AI engineers. In his present function, Manoranjan typically operates as a “World Black Belt” (a time period Microsoft makes use of for top-tier specialists) in AI, addressing robust challenges in implementing GenAI options for purchasers. 

He’s deeply concerned in architecting AI methods which can be scalable, safe, and aligned with enterprise objectives. For instance, he may information a shopper in constructing a voice-based clever agent or a customized GPT-powered information base – all the time with an eye fixed on efficiency and ethics. 

Be at DataHack Summit 2025 to expertise his high-octane hack session, ‘AI Voice Agent: The Way forward for Human-Pc Interplay’.

Discover their full profile right here.

Dipanjan Sarkar

Dipanjan Sarkar is a stellar instance of a multi-faceted GenAI skilled – he’s an trade chief, a prolific writer, and a acknowledged knowledgeable who actively uplifts the neighborhood. At the moment working because the Head of Neighborhood and Principal AI Scientist at Analytics Vidhya, Dipanjan works on large-scale clever methods that leverage machine studying and deep studying to resolve real-world issues. Over his profession, he has spearheaded superior analytics initiatives at Fortune 500 corporations like Utilized Supplies and Intel, and contributed to open-source tasks at Purple Hat. 

However what actually units him aside is his dedication to sharing information. DJ has authored a number of acclaimed books (over 7 titles) on machine studying, NLP, and deep studying – from Textual content Analytics with Python to Generative AI with Python and PyTorch. These works have turn out to be go-to assets for practitioners, recognized for his or her hands-on method. 

Recognizing his contributions, Google honored him as a Developer Knowledgeable in Machine Studying in 2019. He was additionally named among the many High 10 Knowledge Scientists in India in 2020, underscoring each his technical excellence and affect. Dipanjan’s area of interest lies in utilized machine studying and training: he excels in constructing options (spanning NLP, laptop imaginative and prescient, and recommender methods) after which articulating the how’s and why’s via tutorials, programs, and talks. 

In each function, Dipanjan balances hands-on growth with mentorship – as an example, advising startups, instructing at knowledge science academies, and beta-testing MOOCs for Coursera. Famend for his approachable educating model and deep experience, he evokes GenAI lovers to repeatedly be taught by doing.

Meet him at DataHack Summit 2025 and roll up your sleeves in his immersive session on ‘Mastering Clever Brokers: A Deep Dive into Agentic AI’.

Discover their full profile right here.

Hitesh Nayak

Hitesh Nayak has constructed a fame as a flexible knowledge science chief who can inject Generative AI innovation into any area. At the moment the Director of Knowledge Science at Brainlabs, he brings 12 years of hands-on expertise to the desk. Hitesh has actually accomplished all of it: he’s constructed high-performing AI groups, developed impactful fashions, designed coaching packages, and crafted AI-driven enterprise methods – and, as he humorously admits, handled the occasional manufacturing catastrophe alongside the way in which. 

His profession spans a wealthy array of industries: retail and e-commerce, banking/finance, shopper packaged items (CPG), and even manufacturing. In every sector, Hitesh has utilized GenAI in context-specific methods – from personalization methods in retail to predictive analytics in finance and provide chain optimizations in CPG. 

What actually drives Hitesh is seeing AI create real-world worth. He typically says that the joys comes from one good algorithm making a tangible distinction – whether or not it’s boosting a metric or bettering a buyer’s expertise. 

Seize your seat at DataHack Summit 2025- he’s guiding a deep-dive hack session titled ‘Mannequin Context Protocol in Media: Selecting the Proper Metrics & Technique’.

Discover their full profile right here.

Need to Catch all of them in One Place?

There’s no higher time to observe these high GenAI leaders, agentic AI specialists, and generative AI innovators. Whether or not you’re a researcher, a product builder, or simply GenAI-curious- these leaders are those pushing boundaries.

However right here’s the kicker: What in case you might meet them multi functional place?

Be a part of us on the DataHack Summit 2025, taking place August 20-23 in Bengaluru, India– the place these sensible minds will collect to speak, educate, and rework the way forward for AI.

This isn’t simply an event- it’s the vacation spot for anybody attending to be taught and develop in Generative AI and Agentic AI.