Vinay Agrawal
AI Engineering Director at Ciklum
About
I'm Vinay Agrawal, the AI Engineering Director at Ciklum. My career has been defined by a transition from core engineering to architecting the future of intelligence, most recently leading Gen AI and Machine Learning initiatives at TCS. I specialize in building 'AI-First' architectures and agentic workflows that solve real-world friction in retail and supply chain logistics. I’m passionate about moving beyond 'AI Theater'—where tech is just for show—to creating autonomous 'Digital Worker Fleets' that drive actual business transformation. I’m here to connect with leaders who want to move past simple chatbots and build robust, private AI systems that protect intellectual property while empowering the next generation of 'Superworkers.' Whether it's discussing 'shelf truth' in retail or the nuances of MLOps, I'm focused on turning technical vision into production-ready reality.
Networking
What I can offer
- ›Translation of complex business challenges into scalable AI platforms
- ›Expertise in production-grade GenAI and agentic workflows
- ›Strategic leadership in AI talent enablement and GTM strategy
Looking for
- ›expanding my professional network
- ›exploring mutual opportunities in retail, logistics, and AI infrastructure
Best fit for
Current Interests
Background
Career
Progressed from Project Engineer at Wipro to technical leadership roles at HARMAN and Yantriks, eventually leading Gen AI and ML at TCS before becoming AI Engineering Director at Ciklum.
Education
MS in Data Science from Liverpool John Moores University (2022); PG Diploma in Data Science from IIIT Bangalore (2022); B.E. in Computer Science from Visvesvaraya Technological University (2011).
Achievements
- ›Delivered 14 AI-driven solutions at TCS, including 5 production-grade GenAI services.
- ›Architected reusable AI frameworks reducing time-to-delivery by 30–40%.
- ›Upskilled 30+ engineers in AI and Python.
- ›Built a multi-agent email automation system using Google’s A2A protocol.
Opinions
- AI should be the core operating system of business transformation, not an add-on.
- Organizations fail when they invest in tech without investing 7x more in people and culture (AI Theater).
- AI cannot automate judgment if the underlying data context is broken.
- Career safety lies in owning workflows and systems rather than just using software.