• Mobile: +91 9964929755
• Email: muthukrishnan.t[@]hotmail.com
• Blog: notes.muthu.co
• GitHub: github.com/muthuspark
• LinkedIn: linkedin.com/in/krimuthu
• Location: Bangalore, India

PROFESSIONAL SUMMARY

AI Agents Architect and Engineering Leader with 16+ years of experience specializing in designing, building, and deploying production-grade agentic AI systems at enterprise scale. Over the past two years, built and shipped a multi-agent AI platform that automates core workflows across Product Management, QA, Customer Experience, and Engineering at Sanas.ai, driving AI-generated code from 5% to 77% across the engineering organization.

Patent Holder, published author (Essential Search Algorithms), and former startup founder. Deep hands-on expertise in LangGraph, MCP, Claude API, multi-agent orchestration, and agentic SDLC tooling with a track record of moving AI from proof-of-concept to production infrastructure.

CORE COMPETENCIES

Agentic AI & Architecture

• Multi-agent system design & orchestration
• Agent communication protocols: MCP, ACP, A2A
• LangGraph, LangChain, Claude API, OpenAI API
• Tool use, memory, RAG, and agentic pipelines
• FastAPI microservices for agent infrastructure

Engineering Leadership

• Engineering team leadership (up to 30 engineers)
• AI transformation strategy & execution
• Technical roadmap & architecture governance
• Talent acquisition, mentoring, career growth
• Cross-functional collaboration & stakeholder mgmt

Technical Stack

• Python, Java, JavaScript / Node.js
• Kafka, ClickHouse, Redis, MySQL, NoSQL
• CI/CD, Docker, microservices architecture
• React Native, full-stack SaaS platform dev

AI Platform & Tooling

• Enterprise AI platform development & deployment
• Agentic SDLC tooling (PRD, QA, bug analysis)
• LangGraph-powered multi-agent pipelines
• Claude Code plugins (solid-audit, agent-server)

PRODUCTION AI AGENTS BUILT & DEPLOYED

Six AI agents currently in production at Sanas.ai, spanning the full SDLC:

• Customer Support Assistant: A chatbot built to talk to internal databases, Salesforce, Freshdesk, and Telemetry system to help the support team debug issues — reducing resolution time from 5–10 days to under 2 days
• PRD Rewriter / Reviewer Agent: Automatically rewrites and reviews product requirements against quality standards before engineering begins
• QA Blast Radius Agent: Analyzes code changes to determine test impact scope, reducing regression risk
• Automatic Bug Triage Agent: Automatically identifies root cause of issues from JIRA tickets and helps engineering close tickets faster and clear up bug backlogs
• Bug Leak Analysis Agent: Identifies escaped bugs from QA and traces root causes
• InfoSec Q&A Bot: Answers security and compliance queries using retrieval-augmented generation over internal policy documents
• Code Review Agent: Automated SOLID principles auditing integrated into CI/CD pipelines (open-sourced as solid-audit Claude Code plugin)

WORK HISTORY

AI Agents Architect and Engineering Leader, Sanas.ai

2024 to Present

AI Agents Platform

• Designed and deployed an enterprise multi-agent AI platform covering full SDLC workflows — PRD review, QA impact, bug leak analysis, InfoSec Q&A, and code review
• Drove AI-generated code from 5% to 77% across the engineering organization through tooling adoption, agent deployment, and cultural change management
• Architected agent communication infrastructure using MCP, ACP, and A2A protocols; built claude-agent-server (Python/FastAPI and Go) for remote Claude CLI access
• Built and open-sourced solid-audit, a Claude Code plugin for automated SOLID principles auditing in CI/CD pipelines
• Developed LangGraph-powered multi-agent pipelines including stock analysis agents and multi-agent debate systems

Platform & Infrastructure

• Architected high-scale reporting engine processing 25M+ daily events using Kafka, ClickHouse, and Redis enabling real-time analytics and BI
• Led re-architecture of core services to achieve 99.99% uptime; established monitoring and alerting that reduced production incidents by 45%

Leadership & Process

• Recruited and onboarded 15+ engineers across full-stack, backend, and DevOps roles
• Mentored 5 senior engineers for technical leadership; 3 promoted during tenure
• Established on-call, incident response, and CI/CD best practices across the organization

Engineering Leader & Principal Engineer, Whatfix

2017 to 2024

Led engineering initiatives across multiple roles, growing the Desktop product from MVP to $2M revenue over three years. Managed a team of 12 engineers across 3 products.

Key Achievements

• Filed 5 patents in UI context detection, OCR-based screen identification, and cross-application walkthrough technology
• Architected the entire Mobile Solution from scratch using React Native and Node.js microservices, scaling to enterprise clients
• Led 4-engineer CI/CD automation team; reduced deployment time from hours to minutes
• Spearheaded a 6-month R&D project converting guided walkthroughs to conversational chat interface using Dialogflow and NLU, resulting in a new product feature

Software Engineer (Individual Contributor & Founder), Huawei / NextGen Healthcare / Vidyartha / Webzeest

2010 to 2017

Built foundational expertise across full-stack development, system architecture, and product engineering. Founded and developed webzeest.com blogging platform. Delivered solutions in telecom, healthcare APIs, and browser extensions. Gained early startup experience across product development, UX, and go-to-market strategy.

OPEN SOURCE & NOTABLE PROJECTS

• solid-audit — Claude Code plugin for automated SOLID principles auditing in CI/CD
• claude-agent-server — Python/FastAPI and Go implementations enabling remote Claude CLI access over HTTP
• LangGraph multi-agent debate system and stock analysis agent pipeline
• Engineering metrics dashboard with DORA metrics and AI code generation tracking (Apache DevLake integration)

PATENTS

1. 18060,274: Processing Techniques for Fast and Accurate Identification of Application Screens Using OCR
2. 18/307,280: Cross-Application Walkthrough Guides (Desktop-to-Desktop, Desktop-to-Browser, Browser-to-Desktop)
3. 18478,379: System and Method for Detecting a Change in Context of an Application
4. 18/454,118: System and Method for Detecting a Change in Context of an Application Using Subsections
5. 18/398,544: System and Method of Creating a Shadow Representation of the UI for Faster Element Retrieval

PUBLICATIONS

Essential Search Algorithms — Published Author

Comprehensive technical book covering 40+ search algorithms across 7 categories — AI search, graph algorithms, and text matching — with practical Python implementations, visualizations, and real-world applications. Covers A*, Monte Carlo Tree Search, Ant Colony Optimization, and more.

EDUCATION

Bachelor of Engineering in Computer Science | First Class Distinction, CGPA 9.0 | 2010 Vishweshwaraya Technical University