15 years of experience in the networking field, specializing in Software-Defined Networking (SDN), I have recently delved into the world of AI/ML. My focus has been on researching the applications of Large Language Models (LLMs) in networking, exploring how these advanced technologies can supercharge networking and user experiences.

Experiences

Most recent first

  • 2 years working in a startup building a Networking AI/ML product
  • 4 years as solutions architect / consultant / pre-sale in networking, specifically Cisco ACI and DataCenter
  • 5 years as a network engineer in Enterprise covering a wide range of technologies - DC/Campus Networking, CDN, Automation
  • 5 years as a tier-1 tech support engineer in an ISP setting

White Papers Published

Career Certifications and Awards

My Thoughts On AI

My primary goal is to harness the power of LLMs to facilitate the integration of AI/ML into data center designs, effectively bridging the gap between high-level business requirements and network functionalities. This approach is rooted in the philosophy of true intent-based networking, which prioritizes understanding and fulfilling business and application needs, rather than focusing solely on the network infrastructure.

I believe AI is here to augment, not to replace network engineers. It’s akin to the calculator’s role in mathematics: a powerful tool that expands capabilities without diminishing the importance of human expertise. The calculator didn’t replace mathematicians; instead, it made math more accessible and accelerated our learning.

Similarly, while the core principles of networking remain crucial, our approach evolves. Engineers need a solid grasp of these fundamentals to discern when an LLM might ‘hallucinate’. The shift we’re witnessing moves us away from rote memorization of CLI commands towards a focus on design and business alignment. Our goal is to provide nuanced, business-specific directives to LLMs, enhancing efficiency and customization.

Envision a future where networking operations are driven more by human language interfaces than traditional CLI/GUI. This paradigm shift promises a more intuitive, human-centric approach to networking technology

– written by me, revised by chatGPT ( of course )