Balamurugan
Ramachandran_

I build backend systems.

Python Engineer focused on backend services, API design, developer tools and AI-enabled applications. I like building useful software, solving real engineering problems and making complex systems easier to work with.

↓ Download resume Explore my work ↘

GitHub ↗LinkedIn ↗Email ↗

profile.py

01class Engineer:
02def __init__(self):
03self.name = "Balamurugan"
04self.focus = [
05"Backend engineering",
06"Agentic AI",
07"Developer tools"
08]
09self.currently = "building"
10self.coffee = True
11
12# always learning, always shipping.
 Python 3UTF-8Ln 12, Col 1

⌘ API DESIGN

✳ AI + AUTOMATION

SCROLL TO EXPLORE01 — 04

01 /

A LITTLE ABOUT ME

Engineering with
purpose.

I turn ideas and complex workflows into reliable software.

I'm a Python engineer with 3+ years of software engineering experience building production backend services, REST APIs, data pipelines and AI-enabled applications. My experience spans FastAPI, PostgreSQL, distributed processing, asynchronous APIs, agent frameworks and reusable MCP integrations.

I care about correctness, maintainability, security, clear interfaces and developer experience. Outside my professional work, I build and maintain independent products — from desktop billing software to AI-powered inventory management.

Experience.log

●

Jun 2026 — Present

Ernst & Young GDS LLP

Senior Analyst – AI & Data

Develop Python FastAPI backend APIs for earnings-call transcript processing, integrating application services with AI workflows and automation.
Build AI agent workflows using LangChain and Microsoft Agent Framework, developing reusable tool-based capabilities.
Create reusable Model Context Protocol (MCP) servers that expose shared tools across AI agents.
Configure Azure Container Apps, Azure Front Door and Private Endpoints for application deployment and secure service connectivity.
Collaborate with engineering teams to triage integration issues, evaluate technical trade-offs and maintain reliable application services.

○

Jun 2023 — May 2026

Techfinite Systems Pvt. Ltd.

System Engineer

Led 6 engineers delivering ClaimGenie, a healthcare revenue cycle management platform processing 1,000+ transactions daily.
Developed Python backend capabilities and AI agent functionality to help users understand healthcare payment reconciliation outcomes.
Resolved memory exhaustion and gateway timeouts using Redis-backed background workers and WebSocket notifications for long-running tasks.
Configured MariaDB read replicas, separated OLTP and OLAP workloads, and optimised queries using indexes, views and CTEs.
Built and maintained a bare-metal Kubernetes cluster with 2 control-plane nodes and 12+ worker nodes.
Implemented observability using Prometheus, Grafana and Loki.
Contributed to Yultra.AI enterprise application workflows across Angular, Spring Boot and Flask services, with PostgreSQL, Keycloak and Kubernetes-based deployment.
Developed data pipelines to migrate over 1 million Australian patient records from JSON APIs into customer-required XML formats.

03 /

THINGS I'M BUILDING

Selected projects.git

PROJECT / 01Completed

◈

Mobile application

Kovil Kanakku

An open-source Flutter application, built as a personal product project and published publicly on GitHub.

⌘ View repository ↗

PROJECT / 02Ongoing

▣

Desktop billing software

BillForge

A desktop billing application designed for small shops, built with Wails, Angular and Go. Focused on bringing a practical billing workflow into a desktop experience.

⌘ View repository ↗

PROJECT / 03Ongoing

⌁

AI-powered inventory management

Inventra

An inventory management platform combining Angular and FastAPI with AI capabilities, including a chatbot, predictive insights and analysis to help users understand inventory data.

⌘ View repository ↗

✳ Professional projects such as ClaimGenie and Yultra.AI are described under experience; their source code is proprietary and therefore not linked here.

04 /

LEARNING NEVER STOPS