Hari Krishnan K V Professional Photo

Hello, I'm Hari Krishnan K V

AI Architect | Enterprise Architect | Agentic AI & Cloud Transformation Leader

About Me

My expertise spans Enterprise Architecture, Cloud, Data, and AI, with a strong focus on designing scalable, secure, and future-ready platforms. I bring a holistic perspective that connects business strategy, technology execution, and operational governance.

In recent years, my work has centered on Agentic AI architecture architecting and hands-on building multi-agent and RAG systems on LangGraph and Microsoft AutoGen, with LangSmith evaluation and Microsoft Azure AI Foundry and moving them from prototype to governed production with Responsible AI guardrails and enterprise AI governance.

I am experienced in leading architecture review boards (ARB/TRB), defining enterprise standards and reusable patterns, and guiding organizations through large-scale modernization, multi-cloud adoption, and regulated digital transformation.

My Expertise

Core Competencies

  • Strategic Technology Planning & Roadmaps
  • Standards & Governance
  • Cloud Application Modernization & XaaS Models
  • Architectural Guidance & Risk Management
  • Onshore & Offshore Team Leadership

Technical Stack & Tools

Platforms & Technologies

  • Microsoft Azure (Expert) – IaaS, PaaS, SaaS
  • Azure AI Foundry
  • C#, .NET, ASP.NET, .NET Core, Web APIs
  • Relational & NoSQL Datastores (SQL Server, Azure Cosmos DB, MongoDB)
  • Containers & Orchestration (Docker, Kubernetes)
  • API Management & Integration Platforms (Azure APIM, Apigee)

AI & Agentic Engineering

  • Multi-Agent Orchestration (LangGraph, Microsoft AutoGen, LangChain)
  • LLMs: Gemini, Claude, OpenAI
  • RAG & Semantic Retrieval (MongoDB, PostgreSQL)
  • Model Evaluation & Observability (LangSmith)
  • Model Context Protocol (MCP), MLOps / LLMOps
  • Python, Microsoft Azure AI Foundry

Architecture Styles & Patterns

  • Microservices & Domain-Driven Design (DDD)
  • Event-Driven & Asynchronous Architectures
  • Service-Oriented Architecture (SOA)
  • Multi-Tenant SaaS & XaaS Architectures
  • Twelve-Factor Application Methodology

Engineering & Governance Practices

  • CI/CD Pipelines & Automated Deployments
  • Infrastructure as Code (Bicep, Terraform, ARM)
  • Architecture Review Boards (ARB / TRB)
  • Security-by-Design & Compliance Enablement
  • AI Lifecycle, MLOps & Agentic AI Governance

Architectural Skills

Architectural Domains

  • TOGAF-Aligned Enterprise Architecture
  • Cloud Architecture (Azure – Expert; Google Cloud; hybrid / multi-cloud)
  • Data, AI & Agentic AI Architecture
  • Solution & Integration Architecture
  • Security & Infrastructure Architecture
  • Legacy Modernization & Cloud-Native Transformation

EA Tools & Methodologies

  • Architecture Modeling (Lucidchart, UML, Miro)
  • DevOps & Delivery Tooling (Azure DevOps, Jira)
  • API-Led Connectivity & Integration Patterns
  • API Management (Azure API Management, Apigee)
  • Azure AI Foundry - AI Platforms

Professional & Leadership Competencies

  • Enterprise Strategy, Roadmapping & Transformation
  • Architecture Review Boards (ARB / TRB)
  • Executive & C-Level Stakeholder Engagement
  • Architectural Risk, Compliance & Governance
  • Global Onshore–Offshore Team Leadership
  • Business Value Realization & Outcome-Driven Design

Certifications

Microsoft Certified Azure Solutions Architect Expert

(AZ-305)

Microsoft Azure IoT Developer Specialty

(AZ-220)

Certified SAFe 5 Agilist

Lean Silver Certification

– Lennox International, Inc

Certified Professional Scrum Master

– PSM I

Humana Technologist Degree

A comprehensive program covering the domains of Inter- and Intrapersonal skills, Leadership skills, Business skills, and Technology Tools

UT Austin Postgraduate Diploma Program in AI and ML: Business Applications

Skills: Artificial Intelligence (AI), Machine Learning, Deep Learning, Large Language Models (LLM), Python (Programming Language)

ADaSci Certified Agentic AI System Architect

Skills: LangGraph for managing complex, stateful agent workflows, n8n and AutoGen (and CrewAI) for designing collaborative multi-agent systems. The program also covers essential production-readiness tools, including PydanticAI for structured output, integration techniques for LLMs and RAG, and critical MLOps principles

Experience

Lead Enterprise Architect

Humana, Inc. | TX, USA

Aug 2021 - Present

  • Architect and hands-on build a production Agentic AI "Agent Assist" system on Microsoft Azure AI Foundry a Planner–Executor–Supervisor multi-agent pattern with human-in-the-loop approval gates for sensitive, regulated actions.
  • Orchestrate multi-agent workflows on LangGraph and Microsoft AutoGen, reasoning across Gemini, Claude, and OpenAI models, with RAG grounding over coverage, billing, eligibility, claims, and CRM data on MongoDB and PostgreSQL unifying retrieval that previously required agents to search across 20+ separate applications.
  • Instrument model evaluation and observability with LangSmith, tracking answer accuracy, guardrail adherence, and agent performance in production.
  • Built a second agentic system (research → draft → review) that generates Technical Review Board (TRB) submission documents for application teams while preserving human architect approval.
  • Define Agentic AI governance and safety controls role boundaries, decision checkpoints, guardrails, and auditability aligned to NIST AI RMF for Responsible AI usage and regulatory compliance.
  • Lead end-to-end cloud transformation of mission-critical systems into scalable, resilient Azure and Google Cloud architectures (IaaS / PaaS / SaaS) and hybrid environments, cutting infrastructure cost 20% and accelerating platform onboarding 25%.
  • Drive enterprise modernization and technology rationalization through multi-cloud XaaS adoption and application portfolio rationalization via ARB/TRB, establishing enterprise data and AI governance and enforcing standards across large, distributed engineering organizations.

Cloud Solutions Lead

Lennox International, Inc. | TX, USA

Oct 2016 - Aug 2021

  • Led cross-functional and onshore/offshore teams to successfully launch the iComfort smart thermostat, integrated with Alexa, Google, and IFTTT for enhanced consumer engagement.
  • Directed cloud and on-premises migration initiatives, including VM migration and app service modernization, to advance organizational growth and system modernization.
  • Developed a robust cloud solutions architecture, leveraging OAuth 2.0 to optimize security and enhance system functionality.
  • Established comprehensive strategic plans for project requirements, leading detailed business requirement analyses and stakeholder engagement for seamless feature development.

Senior Software Engineer

Computer Science Corporation | Pasadena, CA USA

Oct 2008 - Oct 2016

    Worked with Kaiser Permanente as Sr.Technical consultant. Responsible for application delivery to the Kaiser Permanente from CSC. Other than doing technical application delivery I was responsible for resource management, Billing, SOW, taking care of monthly governance meeting.

  • Projects: Optical Scan – Imagine,Combined Management Console -CMC, Performance Assessment Management Systems (PAMS), Online Patient Satisfaction Survey.
  • Performed detailed analysis of business requirements and developed comprehensive plans defining and scoping project requirements. Create architectural design and diagrams.
  • Estimation and planning of the project deliverable.
  • Created specific software and devised testing scenarios to ensure optimum levels of efficiency.
  • Established a clear timeline and monitoring systems to successfully manage project delivery within the agreed-upon time frame and budget.
  • Subject Matter Expert regarding application development.
  • Lead development team to accomplish deliverable on time within budget.

Senior Software Engineer

Computer Science Corporation | Bangalore, India

Nov 2006 - Oct 2008

  • Projects: Humana Eagle, WaCA (Warranty Corporation of America) Meridian Law Connected (MLC).
  • Estimation and planning of the project deliverable.
  • Created specific software and devised testing scenarios to ensure optimum levels of efficiency.
  • Subject Matter Expert regarding application development.
  • Lead development team to accomplish deliverable on time within budget.

Senior Software Engineer

Aegis an Essar Enterprise | Bangalore, India

Aug 2005 - Oct 2006

  • Projects:Callcenter projects Verizon LD & W,Qwest – MIS
  • Subject Matter Expert regarding callcenter application development.

Architecture Case Studies

The following architecture case studies showcase pivotal moments and significant achievements from my professional journey, illustrating the depth and breadth of my career contributions.

Enterprise Cloud Adoption Framework

Developed a comprehensive framework for secure and scalable cloud adoption across the organization...

Cloud Strategy Azure Governance

Legacy System Modernization

Led the architectural redesign for a critical legacy system, transitioning to a modern microservices architecture...

Microservices Hybrid Cloud API Design

DR and High Availability Implementation

Designed and implemented robust Disaster Recovery (DR) and High Availability (HA) strategies for critical enterprise systems...

Disaster Recovery High Availability Resilience

IoT System Modernization

Led the modernization of an existing IoT infrastructure to improve data processing, scalability, and security for connected devices.

IoT Edge Computing Cloud Integration

Enterprise Data Platform Implementation

Designed and implemented a cloud-native Enterprise Data Platform to unify fragmented data, improve quality, and enable real-time analytics and AI/ML capabilities for a multinational corporation.

Data Platform Cloud Solutions Data Governance AI/ML Enablement

Smart Home Integration Platform

Architected a seamless platform to unify diverse smart home devices and services, enabling control and automation via a single interface, including voice commands through Google Home and Amazon Alexa, and conditional automation via IFTTT.

Smart Home IoT Integration Automation Voice Control

Artificial Intelligence and Machine Learning Case Studies

Production AI systems I have architected and built in the enterprise, alongside applied projects from my postgraduate studies.

Applied AI: Professional Experience

Agentic AI systems I have designed and built in enterprise settings.

Agent AI Assist

Designed a Humana Agent Assist AI system using Agentic AI architecture to enable autonomous task execution, contextual decision support, and governed human oversight for customer service operations.

Agentic AI Humana Autonomous Agents AI Governance Customer Service AI

Agentic TRB Document Generator

Independent project: a research-and-draft agent (Planner → Researcher → Drafter → Reviewer) that turns a project brief into a review-ready Technical Review Board submission, reducing documentation time for application teams while keeping human architect approval in the loop.

Agentic AI LangGraph Multi-Agent RAG AI Governance

AI / ML Study Projects

Projects developed as part of my Postgraduate Program in AI & Machine Learning: Business Applications.

Stock Market News Sentiment Analysis and Summarization

Developed an AI-driven sentiment analysis system leveraging Large Language Models (LLMs) and Transformers to process news for enhanced price prediction accuracy.

AI LLM Transformers Sentiment Analysis Prompt Engineering EDA Text Preprocessing

Plant Seedling Classification

Built an image classifier using Convolutional Neural Networks (CNNs) with Transfer Learning (Keras, TensorFlow) to improve crop yields and reduce human involvement.

Image Classification CNN Transfer Learning Keras TensorFlow Agriculture

Bank Customer Churn Prediction

Created a neural network (TensorFlow, Keras) with Regularization to predict customer churn and recommend retention strategies.

Customer Churn Neural Networks TensorFlow Keras Regularization Banking

Credit Card Users Churn Prediction

Developed a predictive model using Random Forest, Bagging, and Boosting with SMOTE and Hyperparameter Tuning to determine customer churn and underlying causes.

Customer Churn Random Forest Bagging Boosting SMOTE Hyperparameter Tuning

Personal Loan Campaign Modelling

Developed a predictive model using Decision Trees (with Pruning) to identify customers likely to purchase a personal loan, culminating in actionable business recommendations.

Predictive Modelling Decision Trees Pruning Business Recommendations

Blog

Get In Touch

I'm always open to new opportunities,Artificial Intelligence and Machine Learning, strategic discussions, and collaborations. Feel free to connect with me!