Welcome to my digital space

Hi, I'm Shanmuga Sundaram Natarajan (Shan)

Lead Consultant @ Thoughtworks | Principal Engineer | Technology Leader
Hands-on Software Architect | Cloud, AI & Distributed Systems
AI for Software Delivery (AIFSD)

About Me

Passionate about technology and continuous learning

What I Do

I specialize in building scalable web applications, working with modern technologies, and solving complex technical challenges. My focus is on writing clean, maintainable code and creating exceptional user experiences.

My Approach

I believe in continuous learning, best practices, and collaboration. Whether it's exploring new frameworks, contributing to open source, or sharing knowledge through technical writing, I'm always eager to grow.

Learn More About Me

Skills & Technologies

Tools and technologies I work with

Java

Python

Spring Boot

Reactive Programming

AWS

GCP

Serverless

Kubernetes

Docker

CI/CD

Apache Kafka

Microservices

System Design

API Design

Generative AI

LLMs & Agentic AI

MCP

SQL / NoSQL

Data Architecture

Technical Leadership

Latest Blog Posts

Thoughts, tutorials, and insights

April 01, 2026

Why Most Teams Fail at Collaboration — And How Domain-Driven Design Fixes It

Let me tell you about a bug that took three weeks to track down.

March 21, 2026

Building RAG That Actually Works: Lessons from the Trenches

I’ve read probably a dozen RAG tutorials. They all do the same thing: show you how to embed a handful of PDFs into a vector store, run a similarity...

March 20, 2026

Zero Vibe Coding: How I Engineered a Full-Stack Finance App with Claude Code's Multi-Agent Pipeline

When we talk about AI-assisted coding, the conversation usually revolves around “vibe coding” — throwing vague prompts at an LLM, connecting a UI l...

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Featured Projects

Some of my recent work

AutoClassifier: AI-Powered Car Identification

Deep learning-based car identification model using computer vision for automotive surveillance. Processes 16,185 images across 196 car classes, classifying cars by make, model, and year using CNNs and RCNN for precise vehicle detection and localization.

Deep Learning Computer Vision CNN RCNN Transfer Learning MobileNetV2

Support Ticket Categorization

NLP-based machine learning model using transformers for automatic support ticket classification. Accurately predicts ticket categories, assigns priorities, and estimates resolution times through advanced text classification and prompt engineering.

NLP Transformers Text Classification Prompt Engineering Machine Learning

Advanced Computer Vision: Face Detection & Recognition

Real-time face detection and recognition system for broadcast environments using CNNs. Implements triplet loss and Siamese networks for crew member identification in video streams, enhancing security and personalization.

Computer Vision CNN Triplet Loss Siamese Networks Real-time Processing

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