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Kumar Ankur on Muck Rack

Kumar Ankur

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Los Angeles
As seen in: Free Press Journal (India), Dailymotion, Medium, MSN, AIChE Journal, Color Research & Application, Nature, Wiley Online Library, Oxford University Press (OUP), Frontiers, MDPI and
A Techie, Blogger & Mentor | Loved Husband, Proud Dad | Founder of Vedcraft Follow up for Agentic AI, Cloud-native, Data Engineering POVs, Repos, Insights

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Articles

Agentic AI Knowledge Hub: Everything You Need to Know in One Place

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By Ankur Kumar, Kumar Ankur Verified
| Medium
Agentic AI Knowledge Hub: Everything You Need to Know in One Place With the pace of innovation in the Agentic AI era, technologists are overwhelmed with novel architecture & design patterns, agent frameworks, agent tech stack, agent memory management, agent security, agent evaluations, and related subject areas. Last year, I started consolidating an agentic knowledge hub (started with RAG patterns and evolved towards Agentic AI) as part of my usual practice.
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Key Takeaways From Google Cloud Next 2026 For Agentic AI Architects

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By Ankur Kumar, Kumar Ankur Verified
| Medium
Key Takeaways From Google Cloud Next 2026 For Agentic AI Architects With the rise of the Agentic era, Google Cloud Next continued the 2026 trend with significant announcements focused on Agentic AI and Universal Data & Security.
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WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks - Scientific Data

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By Rajat C. Shinde, Kumar Ankur Verified, Christopher Phillips, Aman Gupta, Sujit Roy, Sheyenne Kirkland, Vishal Gaur, Venkatesh Kolluru, Amy Lin, Prajun Trital, Aditi Sheshadri, Udaysankar Nair, Manil Maskey, Rahul Ramachandran, Simon Pfreundschuh
| Nature Verified
Abstract High-quality openly-accessible machine learning (ML)-ready datasets play a foundational role in developing new artificial intelligence (AI) models or fine-tuning existing models for scientific applications such as weather and climate analysis. However, despite the growing development of new deep learning models for weather and climate, there is a scarcity of curated, pre-processed ML-ready datasets.
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