Ashutosh K.
Adjunct Professor of Artificial Intelligence (Part-time)
Experience
Adjunct Professor of Artificial Intelligence (Part-time)
EADA Business School
- Design and deliver graduate-level courses on advanced AI, neural networks, and generative AI.
- Translate real enterprise AI challenges into hands-on coursework, case studies, and projects, explicitly linking AI design choices to business outcomes, ROI, and risk.
- Mentor future business and technology leaders on AI strategy, responsible AI adoption, and scaling GenAI in organizations.
- Leverage industry leadership experience to bridge academic rigor with real-world AI execution at scale.
AI/ML Business Architect & AI Chapter Lead – Sales and Commercial
HP Inc.
- Own end-to-end AI solution architecture aligned to global sales and commercial strategy.
- Designed and deployed enterprise GenAI tools adopted across multiple business functions, targeting improved sales productivity and partner experience.
- Drove multi-million-dollar revenue impact and delivered $800K+ in operational savings through targeted GenAI automation.
- Established and led a global AI Enablement Program (office hours, playbooks, demos), upskilling 1,000+ employees.
- Acted as a strategic bridge between business leaders, engineering, and data science teams to operationalize AI responsibly.
- Core member of AI Innovation Hub – Barcelona
AI Strategy & Innovation Manager / AI Architect – Digital Customer Experience
HP Inc.
- Defined AI strategy for digital customer experience platforms, including chatbots, intent management, and predictive analytics.
- Architected NLP-driven self-service solutions that reduced customer friction and improved containment.
- Prototyped and validated small-LLM–based solutions ahead of broader GenAI adoption.
- Introduced explainable AI frameworks, increasing stakeholder trust and regulatory readiness.
- Partnered with external vendors and internal product teams to transition prototypes into production systems.
Lead Data Scientist – 3D Printing R&D & Graphics Solutions
HP Inc.
- Technical lead for data science across industrial 3D printing and graphics solutions.
- Built production ML systems for anomaly detection, failure prediction, quality optimization, and thermal image analysis.
- Led development of Predictive Press Care, enabling proactive maintenance and reducing downtime.
- Directly influenced product roadmap through data-driven insights and patented technical disclosures.
- Represented HP in academic-industry research collaborations and peer-reviewed publications.
Assistant Manager – Digital Customer Experience
American Express Technologies
- SAS and ML expert; applied data science to improve digital engagement and reduce call-centre volume.
- Designed and delivered ML models to analyze cardmembers’ online visit experience.
- Delivered statistical optimization models for personalized digital campaigns.
Project Manager – Digital Media Analytics
HP Inc.
- Led analytics projects for global digital marketing campaigns.
- Successfully handled complex analytics projects in-house and reduced dependency on external vendor, resulting in direct cost savings of $100K+.
- Built statistical and ML models that improved click-through rates and campaign ROI.
- Managed cross-functional delivery across marketing, analytics, and IT teams.
Project Consultant & Corporate Trainer – Analytics
G & K Analytics
- Delivered corporate trainings and applied solutions using advanced SAS and statistical modeling.
- Trained enterprise professionals in advanced SAS, analytics, and SQL.
- Delivered applied analytics solutions and internal case studies.
Summary
AI and GenAI leader with 15+ years of experience building and scaling enterprise AI solutions, delivering measurable business impact. Currently leading AI architecture and innovation programs for the Commercial Organization at HP, partnering with senior leadership to translate complex business problems into revenue-generating, cost-optimizing, production-grade AI systems.
Brings a rare combination of hands-on AI architecture, organizational leadership, and academic depth—with experience spanning industrial AI, digital customer experience, and global program management. PhD Researcher at UPC-Barcelona and Adjunct Professor of AI, focused on translating advanced AI research into practical, deployable solutions. Active member of leading European AI research organizations and a PhD researcher at UPC-BarcelonaTech, equally effective operating in boardrooms, classrooms, and engineering organizations.
Skills
Business Impact First: Delivered multi-million-dollar revenue impact and $800K+ annual cost savings through AI-driven solutions.
Research → Production: PhD-level researcher (100+ citations) with a consistent track record of converting research into deployable, governed enterprise AI. Currently researching an Intelligent Decision Support System for Industry 4.0
Enterprise AI Leadership: Led cross-functional programs, influenced senior stakeholders, and shaped organizational AI strategy.
Scale & Enablement: Upskilled and coached people globally through structured programs, training and AI events, built repeatable AI adoption models.
AI & GenAI: Generative AI, LLM Applications, Explainable AI, NLP, Deep Learning, Predictive Modelling, Industrials
Platforms & Engineering: Azure, Azure OpenAI, AWS, Python, Microsoft Copilot, GitHub Copilot, Python, SQL, NoSQL
Leadership & Strategy: AI Strategy, Enterprise Architecture, Program Leadership, Global Team Enablement, AI Governance, Portfolio Management, Agile, AI Architecture and consulting
Languages
Education
UPC-BarcelonaTech
PhD, Artificial Intelligence · Artificial Intelligence · Barcelona, Spain
Indian Agricultural Statistics Research Institute
M.Sc., Computer Applications & Statistics · Computer Applications & Statistics · New Delhi, India · 8.83 OGPA
University of Delhi
B.Sc. (Hons.), Statistics · Statistics · New Delhi, India · 8.63 OGPA
Certifications & licenses
Microsoft Certified: Azure AI Fundamentals (AI–900)
Microsoft
Professional Scrum Master (PSM)
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