Tamilselvan Sekar

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Now Finishing WebPing's deployment and applying to backend / AI engineering roles.

IT graduate building AI-integrated backend systems. Focused on applying LLMs inside real applications, API design, and shipping projects that mirror production, not just tutorials.

currently exploring — RAG pipelines Agentic workflows Prompt evaluation

I build backend systems where the model is one dependable component, not the whole product.

$whoami
tamilselvan — building AI-integrated backends
$webping --status
monitoring 12 endpoints · 99.95% uptime · last check 2m ago
# rough placeholder data — replace once deployed
001About

B.Tech in Information Technology, currently focused on AI engineering roles. I like understanding systems end to end — from the model call down to the container it runs in — and I only put a skill on paper once I can defend it in an interview.

002Experience
AI/Backend Intern Company Name

Rough placeholder — one line on what you actually built or shipped here.

Virtual Simulation — Forage Deloitte

Self-paced job simulation. Rough placeholder — swap in the actual task you completed.

003Skills

Languages & Frameworks

Python FastAPI Flask REST APIs

AI / LLM

Gemini API Prompt Design

Data

SQL / MySQL MongoDB (basic)

Infra & Tooling

Docker GitHub Actions AWS
004Featured Work

WebPing

2025 — Present

A cloud-native uptime monitoring SaaS with an LLM-generated incident summary layer. Tracks site health, triggers alerts on downtime, and turns raw error logs into a plain-language root-cause note.

FastAPI PostgreSQL Celery + Redis React / Vite Nginx Docker Compose GitHub Actions Gemini API
webping: 99.95% uptime · checked 2m ago (rough placeholder)
005Education
B.Tech, Information Technology Your College Name, Chennai
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