Engineering professionals in Artificial intelligence
At the senior end of this AI engineering group are an SVP of Engineering, Enterprise AI at Scale AI and a VP AI Engineering at Hippocratic AI; alongside them are agentic systems at OutSystems, generative AI products at C3 AI, AI product engineering at SAP and the Gemini app at Google DeepMind. A call fits decisions on taking models from research into production, staffing an applied AI team or building agents into an enterprise product.
Professionals to explore
Akshay Pushparaja
LinkedInExperience: Director of Engineering · C3 AI
Generative AI products are Akshay Pushparaja's work as Director of Engineering at C3 AI since 2025, with Senior Software Engineering Manager (2024–2025) and Software Engineering Manager (2022–2024) roles there. Pushparaja was Software Engineering Manager (2020–2022) and Senior Machine Learning Engineer (2019–2020) at InterDigital, Inc., and focuses on helping research teams scale their machine learning workflows.
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Armaghan Behlum
LinkedInExperience: Director of Engineering · AKASA
Healthcare AI is AKASA's field, as Armaghan Behlum describes it, and Behlum has been Director of Engineering there since 2025, leading one of its applied AI engineering organizations, which includes product teams. Behlum was Senior Engineering Manager (2024–2025) and Engineering Manager (2022–2024) at AKASA and a Teaching Fellow For CS50 at Harvard (2013), a fit for questions on shipping applied AI to customers.
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Kapil Jaisinghani
LinkedInExperience: Sr. Director, AI - Agentic Systems Engineering Agentic Dev · OutSystems
Coding agents and developer experience are the focus Kapil Jaisinghani describes, alongside close to two decades turning applied research into enterprise-grade products. At OutSystems, Jaisinghani has been Sr. Director, AI - Agentic Systems Engineering Agentic Dev since 2026, with Director, AI - AI-Native DevX (2025–2026), Director, AI - Foundations (Applied Research) (2025) and architecture director roles (2022–2025) there.
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Kelvin Ong
LinkedInExperience: Director of Artificial Intelligence Technology · NVIDIA
Kelvin Ong has been Director of Artificial Intelligence Technology at NVIDIA since 2018 and was Senior Data Scientist there (2014–2018). At Google, Ong held Artificial Intelligence R&D Engineer (2010–2014), Data Engineer (2006–2009) and Junior AI Engineer (2004–2006) roles, and names AI system architecture and big data platform design as specialties, which fits AI infrastructure questions.
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Luyan Chi
LinkedInExperience: Director of Engineering · Google DeepMind
Working on the Gemini app, Luyan Chi has been Director of Engineering at Google DeepMind since 2026 and Senior Engineering Manager there since 2023. At Google, Chi has been Engineering Manager since 2023 and was Tech Lead Manager & Staff Software Engineer (2020–2023) and Senior Software Engineer (2015–2020), and names conversational voice AI as a focus, which suits assistant product questions.
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Madhur Mayank Sharma
LinkedInExperience: Vice President, AI Product Engineering & Global Head of AI Services & Accelerator · SAP
Enterprise software and AI strategy over 20+ years is how Madhur Mayank Sharma describes a career that at SAP includes Director of Engineering & Head of Machine Learning for HR Products (2015–2019), Senior Director of Engineering and Location Head of AI Development Singapore (2019–2024) and, since 2024, Vice President, AI Product Engineering & Global Head of AI Services & Accelerator. Sharma is a fit for enterprise AI product questions.
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Nina Korshunova
LinkedInExperience: Head of AI Engineering · appliedAI Initiative GmbH
A team of 15+ engineers across two locations is the group Nina Korshunova leads as Head of AI Engineering at appliedAI Initiative GmbH since 2024, alongside Business Advisor at SimBricks since 2024. Korshunova was Director of Technology (2023) and Development Manager (2022–2023) at Hyperganic and describes turning AI, generative design and simulation advances into industrial turnkey solutions.
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Priya Ponnapalli
LinkedInExperience: SVP of Engineering, Enterprise AI · Scale AI
Priya Ponnapalli has been SVP of Engineering, Enterprise AI at Scale AI since 2025 and was Senior Director of Engineering at Google (2022–2025). Ponnapalli held Director, Applied Science (2022) and Senior Manager, Applied Science (2018–2022) at Amazon Web Services (AWS) and describes delivering ML products across finance, healthcare and life sciences, a fit for questions on enterprise AI deployments.
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Vishal Wankhede
LinkedInExperience: Senior Director of Engineering · Karini AI
Since 2025, Vishal Wankhede has been Senior Director of Engineering at Karini AI. At StartupWind.Inc, Wankhede held Senior Director of Engineering (2024–2025), Director of Engineering And Operations (2023–2024), Associate Director (2022–2023) and Senior Engineering Manager (2020–2022), and names enterprise AI and platform work, org scaling and distributed delivery as focus areas.
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Vivek Raju Muppalla
LinkedInExperience: VP AI Engineering · Hippocratic AI
Vivek Raju Muppalla has been VP AI Engineering at Hippocratic AI since 2025 and was VP AI Engineering And Custom Models at Cohere (2023–2025). Muppalla also worked as Director at Scale AI (2022–2023), Director Of Engineering (AI and Simulation Product Engineering) at Unity (2019–2022) and Software Development Manager at Amazon (2016–2018), a fit for custom model engineering questions.
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Choose the right perspective
Enterprise AI product questions fit Madhur Mayank Sharma, Priya Ponnapalli, Kapil Jaisinghani and Vishal Wankhede, and custom models and AI infrastructure fit Vivek Raju Muppalla, Kelvin Ong and Akshay Pushparaja. For the Gemini app and conversational voice AI, Luyan Chi is the match; for applied AI teams that deliver to customers, Armaghan Behlum at AKASA and Nina Korshunova at appliedAI Initiative GmbH.
Questions to take into the conversation
- 01What has been the biggest gap between a model's offline evaluation results and its behavior once real users hit it?
- 02How do you decide between fine-tuning a custom model, prompting a general-purpose hosted model or building retrieval for an enterprise use case?
- 03Which inference cost or latency limits have forced you to change an AI product's design?
About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot; roles marked former had ended by then. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.