Ramanan Murugesan

Introduction

About Me

I'm a backend-focused dev who enjoys building data pipelines, REST APIs, and figuring out how to make systems scale. Most of my work involves Python and a lot of time in the terminal.

Currently doing my Master's at TU Eindhoven, working on my thesis on multimodal machine learning in healthcare. I'm also working part-time at a startup that turns ideas into real solutions through tech. Before that, spent almost 3 years at Deutsche Bank enabling tech strategy through insightful dashboards and improving data accuracy with automated testing solutions.

I'm into clean architecture, containerization, and CI/CD - basically anything that makes deployments less painful.

Living in the Netherlands now, which means I've gotten used to biking in horizontal rain and overpaying for mediocre coffee. I could get behind the concept of chocolate sprinkles on buttered bread for breakfast, though. The Dutch efficiency I see everywhere is inspiring and it's something I strive to incorporate into everything I build.

I'm currently open to new opportunities and would love to connect if you have something that matches my skills!

Location

Eindhoven, Netherlands

[email protected]

Currently

M.Sc. Computer Science

Career

Experience

May 2025 — Present

Software Developer

Part-Time

VRW Technology

Eindhoven, Netherlands

Sole backend developer owning architecture and delivery for technical solutions serving real estate and IoT clients.
Built a real estate platform backend with property management, user authentication, automated email notifications, and an analytics dashboard used by realtors across the Netherlands.
Developed an IoT device management system for 50+ ESP-32 gaming systems with OTA firmware updates, game distribution, and playtime analytics.
Designed REST APIs with role-based access control, action queuing for devices, and Prometheus monitoring for observability.
Owned end-to-end delivery from architecture to production deployment on Azure, with release workflows enabling rapid iteration.

Jul 2025 — Nov 2025

Research Intern

Åbo Akademi University

Turku, Finland

Led the technical development of a research paper on neural network-based biomass gasification modeling.
Built a PyTorch neural network to predict syngas composition, enabling simulation of biomass gasification without physical experiments.
Developed gradient-based optimization that identifies input parameters to minimize CO₂ emissions, supporting cleaner energy research.
Created a composite scoring system to find optimal conditions for maximizing H₂ and CO yield while reducing CO₂ output.

Aug 2021 — Jul 2024

Associate Engineer

Deutsche Bank

Bengaluru, India

Built a Spring Boot data pipeline automating extraction from databases and spreadsheets, powering dashboards used by 50+ product managers.
Developed a data visualization web app reducing manual reporting time by 60%, deployed on Tomcat with CI/CD via GitHub Actions.
Created an AI-based solution to detect end-of-lifecycle product usage, helping teams proactively address compliance risks.
Built a conversational interface enabling product owners to retrieve KPIs on-demand, reducing reliance on manual reporting.
Automated data extraction workflows using Python and Selenium, eliminating hours of weekly manual work.

Nov 2020 — Jun 2021

Software Engineer Intern

Samsung Research Institute

Bengaluru, India

Built an Android application in Java to simulate Bluetooth health accessories for Samsung Health testing.
Worked with developers and stakeholders for requirement gathering and architecture design.
Performed unit testing and debugging to ensure stability and performance.