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I help organizations think clearly and build decisively in an era of accelerating changes in agentic AI architectures, and large-scale platform engineering.
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Assessing your cultural and operational fit
Kanagam
Backend Engineer
June 23, 2026 – Present
multi-agent-incident-response-csharp
May 9, 2026 – Present
Companion code for Agents assemble. One agent is a hire. Many agents are a workforce. The Pragmatic Architect newsletter edition. A reference implementation of the six canonical multi-agent patterns, applied to autonomous incident response on a SaaS platform.
View Projectenterprise-ml-algorithms-playbook
May 2, 2026 – Present
This repo is designed for AI Architects, Cloud Architects, Enterprise Architects, ML Engineers, Data Scientists, and technology leaders who want to understand not just the algorithm, but where it is actually used in production.
View Projectenterprise-mcp-starter
April 20, 2026 – Present
Production-ready Model Context Protocol starter with Streamable HTTP, stdio mode, security guardrails, diagrams, tests, and a long-form enterprise article.
View Projectrag-evolution-patterns
March 27, 2026 – Present
A companion repository showing how retrieval-augmented generation evolves from a simple vector lookup into more capable retrieval systems.
View Projectagentic-ai-platform-enterprise
March 14, 2026 – Present
Enterprise reference architecture for Agentic AI systems using LangGraph, RAG, knowledge graphs, and LLM reasoning to power autonomous operational decision workflows.
View Projectenterprise-langchain-financial-assistant
March 6, 2026 – Present
Production-style LangChain project demonstrating a financial research assistant that analyzes US stock market data using: LangChain, yfinance market and OpenAI
View Projectenterprise-agentic-ai-memory-lab
February 27, 2026 – Present
This repository illustrates how enterprise AI agents should manage memory across distinct layers rather than collapsing everything into a single store.
View Projectai-guardrails-three-examples
February 20, 2026 – Present
Three practical examples of AI guardrails: LLM guardrails, agent tool-calling authorization, and multi-agent governance patterns for enterprise AI systems.
View Projectuser-cf-recommender
February 7, 2026 – Present
This repo is a small, GitHub-ready Python project that demonstrates user-based collaborative filtering using a sample user–item interaction matrix and cosine similarity.
View Projectchurn_logreg_customer_success_example
January 31, 2026 – Present
This repository contains a complete, runnable example showing how Customer Success teams can use Logistic Regression to predict churn probability and act early.
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards cutting-edge AI/ML technologies and a proactive approach to learning and implementing complex systems. The projects are diverse within the AI/ML domain, suggesting adaptability and a broad interest in the field. The current role as a Backend Engineer aligns with the target role, but the experience level is listed as 0, which contradicts the depth of personal projects. This discrepancy needs clarification.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and ability to articulate complex AI concepts.