Speaker

Nikhil Rahujaa

Nikhil Rahujaa

Cloud,Security,AI -Architecture Design | Think Tank | 0 to 1 execution | FOSS Advocate | Polyglot

Bengaluru, India

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As a Cloud/Security/AI Architect , I leverage my decade plus years of experience in Cloud Security and now AI to build bespoke Solutions around Cloud/AI for solving Business problems.

Skills:-
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OEM/ISV Neutral Architecture
Solution Architecture
AI Infra Design
LLM vLLM , RAG Inference
Mutli-Cloud(HyperScalers)
Edge Computing /AI at Edge
SAAS Architecture
SASE/XDR
Hybrid Workforce Solutions
Next gen Network Architecture:-
CLOS,uLOLA, SDNe ,DCI ,NPE

Area of Expertise

  • Finance & Banking
  • Humanities & Social Sciences
  • Information & Communications Technology

Topics

  • Technology Innovation
  • Mindset and Money
  • social impact
  • Cloud Technology
  • Artifical Intelligence
  • Technology Strategy
  • Emerging Technology

Using SLM, AI , K8 for Edge Computing in India on 5G Networks

In this session I would like to present a view on how the LLM to SLM journey will make the Containerization even more important for Indian Ecosystem and how 5G Technology , AI Hardware + K8 will play a pivotlal role in solving problems that will solve long standing issues on Indian Agriculture , Marine , Remote Healthcare and Financial Inclusion in deep remote places of country.

Modern Networking for running K8 on Multi Cloud in India

In this 30 mins session I would to showcase how the community can use K8 on multicloud options using Modern DCI - Datacenter Center Internconnect networking. Also , would like to showcase how you can build regional pods with a connected mesh but work in a distributed fashion and deliver low latency application experience. This is very use for devs working for Internet companies who will see massive scale use cases over the years as Indian consumers use more and more of app based services running with India Datacenters.

Data Security in K8 for Edge computing India

In this session I will would to present a view on how to plan for Security elements keeping Data Ingestion + AI at Edge + Containers running the workload and what consideration need to be kept in mind while designing the Architecture for the same and how one principal work one a Industry and how it differs when an another Industry tries to consumes it.

Nikhil Rahujaa

Cloud,Security,AI -Architecture Design | Think Tank | 0 to 1 execution | FOSS Advocate | Polyglot

Bengaluru, India

Actions

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