Sethumadhavan N

AI Engineer | Multi-Agent Systems | Thoughtful Builder

Exploring the depths of AI, building intelligent systems, and sharing thoughts along the way

About Me

AI & Data Science student specializing in LLM systems, multi-agent architectures, and observability AI pipelines. Experienced in building FastAPI-based ML services, anomaly detection agents, and LLM-driven analytical workflows.

Core Skills

languages

PythonJavaSQL

frameworks

FastAPIREST APIsMicroservices

aiml

Machine LearningAnomaly DetectionLLM WorkflowsPrompt EngineeringRAG Basics

systems

Multi-Agent SystemsObservability AIAI Pipelines

data

PandasNumPyVector methods

tools

GitUvicornVS CodeLinux basics

concepts

Model EvaluationFeature EngineeringAI Pipelines

Featured Projects

AgileCopilot - AI Agile Assistant System

Designing AI assistant for Agile teams (BA, Dev, QA roles). Uses historical sprint data + RAG-style retrieval. Generates acceptance criteria, story points, test cases. Role-based AI workflow design.

PythonLLMRAGAI Pipelines

AI-Driven Multi-Agent Observability System

Built multi-agent AI system for logs and metrics anomaly detection. Combined statistical ML detection + LLM reasoning layers. Generated structured AI summaries for operational insights. Modular agent design for extensible observability intelligence.

PythonFastAPIMLLLM workflows

LLM Complaint Classification System

Developed LLM-based complaint routing and classification engine. Designed prompt templates for consistent reasoning outputs. Automated complaint categorization into service workflows.

PythonPrompt EngineeringLLM APIs

Experience & Education

Work Experience

AI Research Intern

BluBridge AI Research Lab · Chennai

Aug 2025

  • Studying AI systems stack including compute execution, kernels, compiler concepts, and parallelism
  • Working with systems team on model execution efficiency and infrastructure fundamentals
  • Reading and implementing low-level architecture concepts behind deep learning frameworks
  • Researching LLM architecture components, tokenization, activation functions, and training pipeline math
  • Contributing to internal AI infra understanding and optimization discussions

AI Engineering Intern

AutonomOps AI · Hyderabad

June 2025 – July 2025

  • Built FastAPI-based backend microservices for AI-driven observability platform analyzing logs and metrics
  • Designed multi-agent anomaly detection pipeline using statistical techniques (z-score, vector similarity)
  • Implemented ML + LLM hybrid workflow to convert anomaly outputs into structured incident summaries
  • Developed prompt-engineered LLM pipelines generating JSON outputs for UI rendering
  • Worked on metrics/log intelligence for SRE & AIOps workflows

Education

B.Tech — Artificial Intelligence & Data Science

SRM Valliammai Engineering College · Chennai

2022 – 2026

CGPA: 8.89 (till Sem VI)

CBSE Class 12

Sri.R.M.Jain Vidhyasharam · Thiruvallur

2022

93.4%

CBSE Class 10

Sri.R.M.Jain Vidhyasharam · Thiruvallur

2020

94.6%

Certifications

Data Structure and Algorithms using Java

NPTEL

81%

Data Mining

NPTEL

79%

Database Management and Systems

NPTEL

72%

The Joy of Computing in Python

NPTEL

69%

Achievements

Winner of Makeathon 2025

VIT Chennai

February 2025

Developed AI-driven code mentorship Python IDE with Electron.js integrated with Gemini API. Secured internship with Innova Solutions.

2nd Place in Data Analytics Hackathon

IIITDM, Kancheepuram

Built ML models and Power BI dashboards for analyzing financial datasets and uncovering hidden trends.

Runner-Up in Hackathon

Amrita Vishwa Vidyapeetham

March 2024

Developed Automated Desoldering Machine for E-waste management using Arduino.

You've reached the bottom

Let's Connect

Interested in collaborating or just want to say hi? Reach out!

Built with Next.js, Tailwind CSS, and Framer Motion
Created using Antigravity
© 2026 Sethumadhavan N