Artificial intelligence
Engineering professionals in Artificial intelligence
These engineering leaders run or have run engineering teams that build and ship AI products, from applied AI and generative AI features to machine learning platforms. A reader can learn how AI products move from research and prototypes into production and where adoption stalls.
Professionals to explore
01—10Akshay Pushparaja
LinkedInExperience: Director of Engineering · C3 AI
Director of Engineering at C3 AI since 2025. The highlight describes this role as Director of Engineering for generative AI products at C3 AI, enabling machine learning research teams to scale their workflows. Other listed roles include Senior Software Engineering Manager at C3 AI (2024–2025), Software Engineering Manager at C3 AI (2022–2024), Software Engineering Manager at InterDigital, Inc. (2020–2022) and Senior Machine Learning Engineer at InterDigital, Inc. (2019–2020).
Armaghan Behlum
LinkedInExperience: Director of Engineering · AKASA
Director of Engineering at AKASA since 2025. The highlight describes leading an applied AI engineering organization at AKASA, a healthcare AI company, taking LLM products to enterprise customers. Other listed roles include Research Assistant in Neurobiology at Harvard Uni (2012–2013), Teaching Fellow For CS50 at Harvard (2013), Senior Engineering Manager at AKASA (2024–2025) and Engineering Manager at AKASA (2022–2024).
Kapil Jaisinghani
LinkedInExperience: Sr. Director, AI - Agentic Systems Engineering Agentic Dev · OutSystems
Sr. Director, AI - Agentic Systems Engineering Agentic Dev at OutSystems since 2026. The highlight describes close to two decades turning applied research into enterprise-grade products and leading the Agentic Dev Org at OutSystems. Other listed roles include Director, AI - AI-Native DevX at OutSystems (2025–2026), Director, AI - Foundations (Applied Research) at OutSystems (2025), Director of Architecture at OutSystems (2024–2025) and Director, Data and Analytics Platform Architecture at OutSystems (2022–2024).
Kelvin Ong
LinkedInExperience: Director of Artificial Intelligence Technology · NVIDIA
Director of Artificial Intelligence Technology at NVIDIA since 2018. The highlight describes experience in AI system architecture and technical management, specializing in deep learning platform design. Other listed roles include Senior Data Scientist at NVIDIA (2014–2018), Artificial Intelligence R&D Engineer at Google (2010–2014), Data Engineer at Google (2006–2009) and Junior AI Engineer at Google (2004–2006).
Luyan Chi
LinkedInExperience: Director of Engineering · Google DeepMind
Director of Engineering at Google DeepMind since 2026. The highlight describes experience in the conversational voice AI domain and a focus on Gemini tool use and agentic use cases in the Gemini App. Also Senior Engineering Manager at Google DeepMind since 2023 and Engineering Manager at Google since 2023. Other listed roles include Tech Lead Manager & Staff Software Engineer at Google (2020–2023) and Senior Software Engineer at Google (2015–2020).
Madhur Mayank Sharma
LinkedInExperience: Vice President, AI Product Engineering & Global Head of AI Services & Accelerator · SAP
Vice President, AI Product Engineering & Global Head of AI Services & Accelerator at SAP since 2024. The highlight describes 20+ years shaping enterprise software and AI strategies, delivering AI products and building global engineering organizations. Other listed roles include Senior Director of Engineering and Location Head of AI Development Singapore at SAP (2019–2024), Director of Engineering & Head of Machine Learning for HR Products at SAP (2015–2019), Development Manager, Smart Cities, Research & Innovation at SAP (2015) and Development Lead at SAP (2008–2010).
Nina Korshunova
LinkedInExperience: Head of AI Engineering · appliedAI Initiative GmbH
Head of AI Engineering at appliedAI Initiative GmbH since 2024. The highlight describes leading a team of 15+ engineers at appliedAI developing industrial AI solutions and simulation platforms. Also Business Advisor at SimBricks since 2024 and Mentor at Campus Founders since 2024. Other listed roles include Director of Technology at Hyperganic (2023) and Development Manager at Hyperganic (2022–2023).
Priya Ponnapalli
LinkedInExperience: SVP of Engineering, Enterprise AI · Scale AI
SVP of Engineering, Enterprise AI at Scale AI since 2025. The highlight describes delivering ML products and solutions across industries including finance, healthcare and life sciences, and sports. Other listed roles include Senior Director of Engineering at Google (2022–2025), Director, Applied Science at Amazon Web Services (AWS) (2022), Senior Manager, Applied Science at Amazon Web Services (AWS) (2018–2022) and Faculty at Rutgers Business School (2017–2020).
Vishal Wankhede
LinkedInExperience: Senior Director of Engineering · Karini AI
Senior Director of Engineering at Karini AI since 2025. The highlight describes enterprise AI and platform leadership, including org scaling and distributed teams. Other listed roles include Senior Director of Engineering at StartupWind.Inc (2024–2025), Director of Engineering And Operations at StartupWind.Inc (2023–2024), Associate Director at StartupWind.Inc (2022–2023) and Senior Engineering Manager at StartupWind.Inc (2020–2022).
Vivek Raju Muppalla
LinkedInExperience: VP AI Engineering · Hippocratic AI
VP AI Engineering at Hippocratic AI since 2025. The highlight describes a decade managing teams in software engineering, machine learning and product management. Other listed roles include VP AI Engineering And Custom Models at Cohere (2023–2025), 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).
Choose the right perspective
Check whether the person's relevant role is current or past and whether it focused on customer-facing AI products or on internal AI platforms. Ask them for one AI product they took to production and what they would do differently to drive adoption.
Questions to take into the conversation
- 01When you had to cut costs or speed up delivery, which technical constraint forced your hand the most?
- 02What would need to change about your infrastructure or model approach to make a real difference to reliability or cost?
- 03Tell me about a time you chose a simpler technical solution over a more sophisticated one—what made that the right call?
Reaching engineering professionals in Artificial intelligence
How can I contact one of these engineering professionals in Artificial intelligence?
Pick one of the 10 people on this page and choose "Book a paid call", or describe your project to find others. You offer a fee for a 15-minute call or a written answer, Instant Expert finds the person's work email and sends the invitation, and they decide whether to accept. The list covers 10 companies, including C3 AI, AKASA and OutSystems, based on profile data retrieved on September 30, 2026. Being listed here doesn't mean someone has agreed to take calls.
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About this directory
This is a professional research starting point based on business profile data retrieved on . Titles and companies reflect that source snapshot and may describe past or present roles. Check the linked profiles for current details. Inclusion does not imply Instant Expert membership or availability.
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