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## ๐Ÿ“‚ Research Portfolio
Category Description
๐Ÿ“– Publications Journal papers, conference papers, and technical articles
๐Ÿ“„ White Papers Enterprise AI, Platform Engineering, Cloud Architecture
๐Ÿ“Š Datasets Research datasets and benchmarks
๐ŸŽค Presentations Conference talks and technical sessions
๐Ÿงช Research Projects Active and completed research initiatives
๐Ÿ“š Reading Lists Curated references and learning resources

Rakesh Kumar Agrawal
Engineer โ€ข Researcher โ€ข Innovator

Exploring Ideas โ€ข Advancing Knowledge โ€ข Driving Impact


Note

Research Portfolio

This repository serves as the central hub for my research activities, publications, datasets, technical reports, presentations, and open-source research in Artificial Intelligence, Enterprise Computing, Cloud Technologies, and Platform Engineering.


๐Ÿ“‘ Table of Contents


๐Ÿš€ Introduction

Welcome to my Research Portfolio.

This repository brings together my academic and technical research, including publications, preprints, datasets, technical reports, presentations, and open-source projects.

My work focuses on bridging research and real-world engineering by developing scalable, practical, and responsible AI solutions for enterprise environments.


๐Ÿ”ฌ Research Areas

Artificial Intelligence

  • Enterprise AI
  • Generative AI
  • Agentic AI
  • Multi-Agent Systems
  • AI Governance

Enterprise Systems

  • Enterprise Architecture
  • Enterprise Digital Brain
  • Intelligent Automation
  • Knowledge Management

Cloud & Platform Engineering

  • Cloud Computing
  • Platform Engineering
  • DevOps
  • Kubernetes
  • Infrastructure Automation

Data & Analytics

  • Knowledge Graphs
  • Retrieval-Augmented Generation (RAG)
  • LLMOps
  • Data Engineering
  • Decision Intelligence

๐ŸŒ Research Profiles

Platform Link
ORCID https://orcid.org/0009-0009-7113-5539
Lens Scholar https://www.lens.org/lens/profile/700800239/scholar
GitHub https://github.com/RakeshKumarAgrawal
LinkedIn https://www.linkedin.com/in/rakeshkumaragrawal/

๐Ÿ“– Featured Publications

Publication Area Status
Enterprise Digital Brain Enterprise AI ๐Ÿšง Ongoing
Enterprise AI Operating Models Enterprise Architecture ๐Ÿšง Ongoing
Constitutional Agentic AI AI Governance ๐Ÿšง Ongoing
AI-Augmented Platform Engineering Platform Engineering ๐Ÿšง Ongoing
Enterprise Knowledge Systems Intelligent Systems ๐Ÿšง Ongoing

๐Ÿ“Š Datasets

Dataset Description Status
Enterprise AI Benchmark Enterprise AI evaluation dataset ๐Ÿšง
Knowledge Graph Dataset Enterprise knowledge representation ๐Ÿšง
RAG Evaluation Dataset Retrieval benchmarking ๐Ÿšง
Platform Engineering Dataset Cloud & DevOps metrics ๐Ÿšง

๐Ÿ“„ White Papers

Current research initiatives include:

  • Enterprise Digital Brain
  • Enterprise AI Blueprint Framework
  • Enterprise AI Operating Models
  • Agentic AI for Enterprise Systems
  • Platform Engineering for AI
  • AI Governance Frameworks

๐ŸŽค Presentations

Topics include:

  • Enterprise AI
  • Generative AI
  • Agentic AI
  • Enterprise Architecture
  • Cloud Computing
  • Platform Engineering
  • DevOps
  • Intelligent Automation

Conference presentations, webinars, workshops, and technical talks will be added here.


๐Ÿ’ป Open Source Research

This research portfolio is complemented by several open-source initiatives.

Repository Focus
Enterprise Digital Brain AI-powered enterprise knowledge platform
Enterprise AI Blueprints Enterprise AI reference architectures
Platform Engineering Toolkit Cloud-native engineering practices
Research Portfolio Publications, datasets, and technical research

๐Ÿ—บ Research Roadmap

2026

  • Publish Enterprise Digital Brain white paper
  • Release Enterprise AI Benchmark Dataset
  • Publish Enterprise AI Blueprint Framework
  • Release Knowledge Graph reference implementation

2027

  • Publish Agentic AI research
  • Release Enterprise AI evaluation framework
  • Expand research datasets
  • Publish additional open-source reference architectures

๐Ÿ“š Citation

If you use any material from this repository, please cite it appropriately.

A CITATION.cff file will be maintained to support GitHub's built-in citation feature.


๐Ÿ“ฌ Contact

Rakesh Kumar Agrawal


โญ Exploring Ideas โ€ข Advancing Knowledge โ€ข Driving Impact

Thank you for visiting my Research Portfolio.

About

Research portfolio featuring publications, preprints, datasets, white papers, technical reports, and open research in Enterprise AI, Agentic AI, Platform Engineering, and Cloud Computing.

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