Krishna Sarode

About Krishna Sarode

Specializing in Digital Transformation & Journey to Cloud Programs | Technology Architecture | Cloud Transformation | Solution Engineering | Customer Advocate | Startup enthusiastic | Technical Product manager | Cloud Migrations| Cloud optimization- FinopsConnect with me to discuss something interesting about Tech stuff. Infra+APP+Data+Security in Cloud-Cloud Transformation Assessment & Strategy for products, automotive, fintech and new energy business- Business Leadership and Go To Market Strategy-AWS Solution Architecture- DevOps Automation- Digital Transformation- Microservices & Domain Driven Software Design-App Modernization- Technical Product management- IT Leadership1. API Management 2. Serverless3. Hybrid and Multi Cloud4. Low Code / No Code5. Application Modernization 6. Database Modernization 7. Infrastructure Modernization 8. Google Cloud VMware Engine9. SAP on GCP10. MLOps, Cloud Data Engineering11.DevOps, DevSecOps, SRE, Platform engineering12. GenAI* GenAI/LLM Innovation: Developing proof-of-concepts in Generative AI and LLMs, implementing Agents using Strands Agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and the AWS GenAI Stack (Amazon Bedrock, Agents, Knowledgebase) to drive intelligent automation, enhanced knowledge discovery, and business innovation.

Experience

1. Finops Architect

   Finops Foundation

   Jun 2019 — Present

   Finops Ambassador part of community practice for cloud usage and efficiency, optimization, Cloud EconomicsCloud Economics Team, the new contractors will be responsible for the following key deliverables over the course of the next year:Percentage of OpenAI spend integrated into Cloud Insights & visibility dashboards.Reduction in manual Cloud Econ investigation hours via LLM-narratives.AI \"Virtuous Patterns\" and \"Antipatterns\" documented and audited.POC target tracking system adopted by top-tier spending teams.Data Pipeline Engineering: Replace manual reporting with automated ETL pipelines for real-time cost ingestion.Alerting: Deploy automated anomaly detection thresholds for LLM consumption.LLM Cost Narratives: Pilot the \"AI-explainer\" tool to generate natural language summaries of cost drivers for engineering leads.Policy Engine: Release the \"AI Usage Best Practices\" library to guide developers on cost-efficient model selection and token management. Multi-Cloud Synthesis: Align AI spend logic with existing AWS/Azure/GCP FinOps practices for a \"Single Pane of Glass\" view.Enhanced Reporting and Alerting Automation: To improve efficiency and timeliness, current manual reporting processes will be integrated directly into our core cost indexes, data pipelines, and automated alerting systems.

Education

• AIT Networking

  CCNA, MCITP, Computer and Information Systems Security/Information Assurance

  2011 — 2012

• SRV High School MNCL AP Hyderabad

  SSC, CBSE Board

  1995 — 2008

• European Institute of Management & Technology -EIMT

  Master of Architecture - MArch, Computer and Information Sciences and Support Services

• KIET PolyTechnic

  Diploma, Information science

  2008 — 2011

• European Institute of Management & Technology -EIMT

  Doctorate, Computer and Information Sciences and Support Services

• JSS Academy Of Technical Education Karnataka

  Bachelor of Engineering (B.E.), Information Technology

  2012 — 2015