Pioneered Neural Operators, enabling AI to simulate complex physical systems—climate, fluids, materials—far faster than traditional solvers. Created FourCastNet, an AI weather model used by major agencies, running forecasts in seconds, and applied these methods to design bacterium-resistant devices and advance fusion modeling.

Led teams developing AI systems for video, audio, and image data, advancing media, edge computing, and immersive tech. Over a 16-year career, has scaled R&D across M&E, automotive, and healthcare, authored multiple patents and publications, and was named one of India’s top innovators under 35 by Mint–MIT.

Built an AI orchestration and computer-vision backbone enabling enterprises to embed AI across retail, logistics, and automation workflows. Under her leadership, the company scaled from internal models to enterprise adoption, powering AI for leading brands and proving how domain AI can move from research to large-scale business impact.

Co-founded Abacus.AI and leads it as CEO, building a “super assistant + AI platform” that embeds generative AI, vision, and optimization into business systems. Earlier, led AI verticals at AWS (launched Amazon Personalize & Forecast) and co-founded Post Intelligence (acquired by Uber), combining deep expertise in product, infrastructure, and applied AI leadership.

Built AI systems for credit scoring, risk modeling, and decision engines that enable smarter, data-driven lending at finbots.ai. With over a decade in banking and fintech data science, she has led initiatives in explainability, model governance, and fairness—bringing accountability and rigor to AI models used in financial decision-making.

Led development of audio-visual deep learning tools that transform text or speech into synchronized facial animations and lifelike avatars. Holds a PhD in computer vision from the University of Canberra, with research spanning lip-sync, dubbing, deepfake detection, and digital avatar generation applied across academia and industry.

An Associate Professor of Computer Science & Engineering at IIT Patna, she has authored over 260 research papers. Her work spans AI, NLP, deep learning, biomedical information extraction, and multiobjective optimization, bridging theoretical AI with real-world applications in healthcare and language technologies, and advancing India’s footprint in global AI research.

Recognized among India’s leading computer scientists, she has advanced research in databases, data mining, NLP, and machine learning, with influential work on structured prediction and information extraction. As a Professor at IIT Bombay, she has mentored generations of AI researchers, published widely, earned multiple best-paper awards, and strengthened India’s presence in global AI scholarship.

Spent over a decade applying AI to one of healthcare’s toughest challenges—early breast cancer detection. As the mind behind Niramai’s Thermalytix, developed a non-invasive, radiation-free AI screening method effective even for younger women. Led its journey from lab to clinic, securing validations, 50+ US patents, and regulatory approvals to enable safer, earlier detection.

Leads product and technology efforts applying AI to enterprise workflows, with a focus on voice, NLP, and backend systems. Previously worked at Exotel, Cogno AI, and Citi, where she built scalable systems and translated cutting-edge research into production-grade AI solutions.

As Head of Analytics at Myntra, she drives AI and ML initiatives in personalization, demand forecasting, and operations—embedding advanced models into daily commerce. With over 16 years in analytics, including roles at Swiggy, she has scaled data systems and now leads how AI transforms India’s fashion e-commerce experience.

A Senior Principal Researcher at Microsoft Research India, she advances AI, NLP, and speech technologies for multilingual and under-resourced languages. She leads initiatives like VeLLM to extend generative AI to underserved communities and Project ELLORA to preserve endangered Indic languages—championing equitable and inclusive AI innovation.

A technology leader at the intersection of AI, healthcare analytics, and predictive systems, she has built scalable diagnostic models addressing global health challenges. She develops platforms like HIVSense-Econ, integrating diagnostic intelligence with real-time economic forecasting to help NGOs, health agencies, and policymakers make data-driven health decisions.

As CTIO at Volkswagen Group Technology Solutions India, she leads the integration of AI, IT, and digital systems across mobility and software platforms. Drawing from leadership roles at Cummins and TCS, she drives innovation strategy, technology modernization, and large-scale digital transformation within the Volkswagen Group.

Co-founder and CEO (formerly CPO) at Mason, she builds AI-driven systems that boost e-commerce conversion, merchandising, and engagement. She drives Mason’s product and AI vision, helping brands transform clickstream and behavioral data into real-time insights that enhance sales performance and user experience.

CEO and Co-founder of Verix (formerly Virtualness), she is building a trust-tech platform that integrates GenAI and blockchain for secure authentication, credentialing, and verification. She leads Verix’s product and tech roadmap and founded AI Kiran, a pan-India initiative empowering women in AI through mentorship, access, community, and blockchain-verified recognition.

Led development of VoxelBox, an AI tool mapping brain connectivity to help neurosurgeons and psychiatrists extract insights from MRI data. As CEO of BrainSightAI, she secured India’s first “software-as-a-medical-device” certification, deployed in 40+ hospitals, and is advancing toward FDA approval—making AI in neuroscience clinically actionable.

A senior technology leader with deep expertise in AI, analytics, and enterprise software, she has driven digital transformation across global organizations. Through leadership, mentorship, and advocacy for women in tech, she continues to shape AI strategy and adoption across both corporate and startup ecosystems.

As VP & Head of AiDa (AI-ML Products & Platforms) at American Express, she leads large-scale AI system development for finance and decision science. Holding multiple U.S. patents in AI-based data processing, classification, and behavior detection, she continues to advance scalable AI for commerce, risk, and data systems.

As Vice President of Data & Analytics (Global Services) at Fiserv, she leads AI/ML and analytics initiatives across banking and payments. She integrates advanced analytics into Fiserv’s product suite, shapes global data strategies, and champions wider AI adoption in financial services

Co-founder of LogiNext, a global logistics automation platform using AI and predictive analytics to optimize routing, fleet, and field operations—now deployed in 50+ countries. She is currently scaling SiftHub, her second venture, an AI assistant for sales and presales teams leveraging RAG and fine-tuned LLMs to automate RFPs, document search, and proposal workflows.

Co-founder and CTO of SuperBryn, she is building a voice-AI platform that enables developers to create agents optimized for Indian accents and multilingual settings. With a PhD from IIT Madras in speech recognition and low-resource language processing, she’s advancing inclusive voice technology for the next generation of AI applications.

A young AI ethicist, inventor, and social entrepreneur, she founded Innovation For Everyone, creating wearable social-distancing tech, apps for homelessness, and AI tools for disability inclusion. Currently studying Computer Science at Duke University and interning at Microsoft Research, she actively contributes to AI ethics policy and youth STEM outreach.

A key author of the “Attention Is All You Need” paper, she now works at Anthropic, advancing research on guardrails and large models. Co-founder of Essential AI (stealth) and former CTO at Adept, she operates at the frontier where model research meets real-world, deployable AI.

Led Product & AI Platform Strategy at Gupshup, advancing conversational commerce and AI tools for large-scale business messaging. Co-founded Morph.ai, building chatbots and conversational systems that boosted lead generation, and later shaped product strategy at Yellow.ai and other AI/SaaS companies.

Leads AI development of autonomous agents for finance at Hyperbots, creating systems that interpret invoices, contracts, and statements to automate workflows like procure-to-pay and order-to-cash. Previously a Senior Research Scientist at Adobe, she spent over a decade advancing NLP and multimodal AI, holds 40+ patents, and bridges deep research with product-driven innovation.

Serves as OpenAI’s Public Policy & Partnerships Lead for India—the company’s first hire in the country—shaping AI policy and partnerships tailored to India’s context. Previously led public affairs at Truecaller and was WhatsApp’s first India hire, driving policy, regulatory engagement, and community initiatives aligned with India’s AI growth.

Built an AI-driven data layer that turns metadata and context into intelligent, actionable systems—redefining data as a foundation for workflows, not just infrastructure. As Co-founder & CEO of Atlan, she has raised over $200M, scaled globally, and helped enterprises become “AI-ready” by operationalizing metadata, governance, and context in their data pipelines.

Co-founder and CEO of Lily AI, she is building emotion-aware AI that bridges the gap between brand language and customer intent to personalize retail experiences. She leads strategy and product vision, helping global retailers improve product discovery, engagement, and conversion through AI-driven insights.

Founder and CEO of iMerit, a global AI and data solutions company that employs and upskills thousands of youth and women from underserved communities to power advanced AI systems. She is celebrated for building inclusive tech teams, advancing women’s participation in AI, and driving equitable growth in the global digital economy

Applies AI to automate contact-center operations, processing voice, chat, and email interactions at scale. She has led deployments across automotive, healthcare, and BFSI sectors—reducing response times and enabling enterprises in 100+ languages, demonstrating AI’s measurable impact on customer experience.

CTO and Co-founder of CipherSonic Labs, she leads the development of privacy-preserving AI and secure computing platforms. Her work focuses on homomorphic encryption, cloud privacy, and encrypted AI deployment—pushing the boundaries of secure, confidential AI systems.

Built a platform connecting foundation model companies with product teams to accelerate real-world AI adoption. With product leadership experience at WhatsApp, Credit Karma, Microsoft, and as Founding PM at Sarvam AI, she has been recognized for her impact with honors including Forbes 30 Under 30.

A Professor of Computer Science at IIT Jodhpur, she is recognized for her research in biometrics, computer vision, and machine learning, focusing on face recognition, security, and fairness in AI. A recipient of multiple best paper awards and fellowships, she has published widely and serves in leadership roles within IEEE and global AI research communities.

An Associate Professor of Computer Science & Engineering at IIT Delhi, she brings prior experience as a Humboldt Postdoctoral Fellow at the Max Planck Institute for Software Systems. Her research spans mobile and embedded systems, privacy, distributed computing, and AI/ML for urban sustainability, with real-world applications in traffic monitoring, sensor networks, and secure data systems.

Holds a PhD in Machine Learning and Psychiatry from NIMHANS, with deep expertise in neuroimaging and computational psychiatry. Recognized as an ET Startup Awards 2024 Top Innovator, her work bridges neuroscience and AI, earning features in publications like Forbes India for pioneering research in mapping the mind and cognition.

A leading voice at the intersection of health, analytics, and AI, she serves as the Wm. Polk Carey Distinguished Professor at Johns Hopkins and co-directs its Center for Digital Health & AI. Her work applies AI to improve access, equity, and outcomes in healthcare, with 100+ publications, CHITA conference leadership, and advisory roles to U.S. health agencies

Founder of Unscript, a generative video platform that automates studio-quality video creation—avatars, lip sync, and dubbing—from simple scripts for marketing and brand teams. An IIT Kharagpur alumna, she has worked in generative AI since 2015 with multiple papers and patents. unScript now powers enterprises to cut production time, lower costs, and personalize video content at scale.

A physician-engineer at MIT, she pioneers “tiny technologies” that apply micro- and nanoscale tools to tackle diseases like cancer, liver disorders, and infections. Her lab has created human microlivers for drug testing, synthetic biomarkers that detect tumors through urine traces, and responsive nanoparticles that target tumors for diagnosis and therapy.

IBM India’s first woman Fellow and CTO for AI, she has led pioneering work in AI, IoT, and cloud technologies for over two decades. A driving force behind enterprise and public-sector AI adoption, she champions responsible AI, mentors women technologists, and continues to shape India’s AI innovation ecosystem.

A Senior AI Researcher at Meta, she drives large-scale innovations in machine learning and natural language processing that power global products. Through her publications, collaborations, and mentorship, she continues to strengthen the AI research ecosystem and spotlight the growing impact of Indian women in frontier AI research.

Leads the Customer Experience AI squad at Ema Unlimited, building “AI employees” that automate and augment user engagement across channels. Previously the first Product Manager at Yellow.ai, she helped scale bots and NLP systems for 1,500+ customers, playing a key role in taking conversational AI from pilot to product.

As Managing Director – AI at Accenture, she brings deep expertise in applied ML, NLP, time-series forecasting, and statistical modeling across industries. She leads large-scale AI transformation programs for global clients, driving adoption of advanced analytics and mentoring teams to build scalable, industry-focused AI solutions.

Bridging research and application in health AI, she directs the Machine Learning & Health Lab at Johns Hopkins and founded Bayesian Health, developing predictive models for clinical decision support. Her work powers sepsis prediction, patient monitoring, and care planning, translating advanced ML research into real-world healthcare impact.

Co-founder of Symbl.ai, an AI platform that converts unstructured conversation data into actionable insights—enabling smarter customer engagement globally. With deep expertise in speech understanding and NLP, she built scalable systems processing millions of real-time interactions. Following Symbl.ai’s integration with Invoca, she continues to advance conversation intelligence, using AI analytics to enhance customer experience, revenue attribution, and decision-making.

Serves as Chief of Research at Exa Protocol, leading data science research and recognized as the world’s first woman triple Kaggle Grandmaster. She specializes in deep learning and probabilistic graphical models, applying AI for social good—using ML to detect early signs of autism and advancing the intersection of neuroscience and AI through initiatives like NeuroAI.

Built AI and Small Language Models (SLMs) for localization, translation, and conversational systems across 80+ languages, making language technology more native and inclusive. She has scaled these systems across BFSI, e-commerce, and app ecosystems, driving enterprise adoption of localization tech and bridging the gap between global AI and local languages.

Co-founder and Co-CTO of Pixis, she has been pivotal in building AI infrastructure and marketing automation systems for enterprises. Under her leadership, Pixis raised major Series C funding and expanded globally, showcasing how to scale AI products from development to enterprise-wide adoption.