Computer Science & Engineering

Backend systems that stay fast under load and explain their decisions.

I build event-driven Java backends with Spring Boot, RabbitMQ and Redis, and wire LLMs into working tools with fallbacks that hold up when AI calls fail. Currently a Backend Developer Intern at Averqon, final-year B.E. CSE student at VSB College of Engineering Technical Campus.

Coimbatore, India

View my work Download Resume

abhiroopa@portfolio ~ zsh

$whoami

Abhiroopa Bhagavathi N

$cat role.txt

Java Backend Developer · CSE '27

$cat stack.txt

Java · Spring Boot · RabbitMQ · Redis

PostgreSQL · Drools · Groq · Ollama

$git log --current

Averqon · Backend Developer Intern

FinVigil Central · in progress

01About

Systems first, then the interface on top.

I'm a Java backend developer who likes the parts of a system users never see: message queues, rules engines, audit trails and the contracts between services.

My projects focus on two things: decoupling slow work from request paths with event-driven design, and making automated decisions traceable, whether that's a credit rule firing or an LLM explaining an anomaly.

At Averqon I'm part of an 11-member engineering team building a reusable, AI-assisted SaaS backend template, and I've implemented its payment integration flow.

Location: Coimbatore, India
Education: B.E. CSE, 2023 – 2027
CGPA: 8.6
Current role: Backend Developer Intern, Averqon
Focus: Event-driven backends & LLM integration

02Featured projects

Problems I've built solutions for.

01In progress

FinVigil Central

Credit Underwriting & AML Surveillance Backend

An event-driven backend that makes loan decisions asynchronously and watches transactions for AML structuring patterns in real time.

Problem: Credit decisioning is slow and rule-heavy; running it inside the API request couples response time to decision time, and the decisions themselves need to be auditable.
Approach: RabbitMQ decouples the API from async decisioning. A Drools rules engine evaluates DTI ratio, credit score and employment checks with traceable rule triggers. Redis sliding-window heuristics flag transaction structuring as it happens.

Java
Spring Boot
Drools
RabbitMQ
Redis
PostgreSQL

LogSage AI

Log File Anomaly Explainer

An AI-powered tool that detects anomalies in uploaded log files and explains them in plain language, with a rule-based fallback when AI calls fail.

Problem: Raw log files are hard to read under pressure, and a tool that depends entirely on an LLM is useless the moment the model call fails.
Approach: LLM-based analysis (Groq API, Ollama) produces plain-language explanations, backed by a rule-based fallback for reliability. A Streamlit dashboard handles upload, severity tracking and incident history.

Python
Streamlit
Groq API
Ollama
SQLite
Plotly
ReportLab

More projects

03Experience

Where I've been building.

Backend Developer Intern
Ongoing
Averqon
- Contributing to a reusable, AI-assisted SaaS backend template engineered for rapid client customization, from requirement intake to configured deployment, as part of an 11-member engineering team.
- Implemented payment integration functionality, handling transaction flow and third-party payment API interaction.
- Python
Java Backend Developer Intern
2024 · Virtual
Prodigy InfoTech
- Implemented CRUD operations in Java with and without database connectivity, covering core backend data-handling and application-logic fundamentals.
- Java

04Tech stack

Tools I build with.

Languages

Java
Python
C#
JavaScript
HTML/CSS

Backend

Spring Boot
REST APIs
Drools

Messaging & Caching

RabbitMQ
Redis

Databases

PostgreSQL
MySQL

AI / LLM

Groq API
Ollama
LangChain (in progress)

Data Visualization

Power BI

Tools

Git
GitHub
IntelliJ IDEA
VS Code

CS Fundamentals

OOP
DBMS
Computer Networks
Data Structures

05Education & recognition

Foundations and credentials.

Education

2023 – 2027
B.E. Computer Science and Engineering
VSB College of Engineering Technical Campus
CGPA 8.6
2022 – 2023
HSC
Government High School, Coimbatore
85.5%

Certifications

Networking Basics
Cisco
Cyber Security Job Simulation
Deloitte

Publication & activity

National Level Conference Participant
VSB College of Engineering Technical Campus
Presented a paper on "ERP-Based Integrated Student Management System" at "Recent Trends in Renewable Energy and Environmental Sustainability" (ISBN: 978-81-993497-3-5).

06GitHub

Recent public repositories.

@ABHIROOPABHAGAVATHIN

07What I build

Where my work tends to land.

Event-driven backends

Java and Spring Boot services that use RabbitMQ and Redis to keep request paths fast and process work asynchronously.

Auditable decision systems

Rules engines (Drools) and PostgreSQL audit trails so every automated decision can be traced back to the rule that made it.

LLM-powered tools

Groq API and Ollama integrations with rule-based fallbacks, so the tool keeps working when the AI call doesn't.

Data & dashboards

Streamlit and Plotly interfaces and Power BI dashboards that turn raw data into something people can act on.

08 — Contact

Let's build something dependable.

I'm open to backend and software engineering opportunities. The fastest way to reach me is email.