---
title: "Swetha Nalluri - SDE 1 in Bengaluru | Tal"
description: "Meet Swetha Nalluri, Backend Software Engineer | Java 17 | Spring Boot | REST APIs | Microservices | PostgreSQL | Redis | Kafka | FinTech based in Bengaluru. AI stack includes claude code, codex, and cursor. Explore public work links including github and swethaaaaa.github.io."
image: "https://tal.club/meet/swetha-nalluri/share-image"
---

# Swetha Nalluri on Tal

## Headline

Backend Software Engineer \| Java 17 \| Spring Boot \| REST APIs \| Microservices \| PostgreSQL \| Redis \| Kafka \| FinTech

## About

Backend Software Engineer with 2\+ years of experience developing production\-grade backend systems using Java 17 and Spring Boot in the FinTech domain\. At Trustt \(formerly Novopay\), I contribute to backend services supporting a Loan Collection System processing over 100,000 daily financial transactions\. My work spans designing RESTful APIs, optimizing PostgreSQL queries \(improving latency by 60%\), implementing Redis caching and Kafka\-based asynchronous processing, and resolving production issues through root cause analysis\. My core expertise includes: • Java 17 & Spring Boot • RESTful API Design & Microservices • PostgreSQL, Redis & Apache Kafka • Query Optimization & Database Indexing • JUnit, Mockito & Backend Testing • Production Support & Incident Resolution • Agile/Scrum Development Beyond my day\-to\-day work, I enjoy building backend\-focused side projects\. One of my recent projects is an AI Resume Analyzer built using Java 17, Spring Boot, Redis, Docker, and external LLM APIs, where the focus was on designing scalable backend services rather than simply integrating AI\.

## Location

Bengaluru

## AI stack

claude code

codex

cursor

github copilot

## Work experience

SDE 1 at Trustt, Jul 2024 \- Present · 2 y 2 mo, Bengaluru, Software Development Engineer — Trustt \(Novopay\) Built backend modules for Loan Collection System handling 100,000\+ daily transactions Designed and implemented audit trail system across 20\+ entities Reduced API latency by 60% \(800ms → 200ms\) via DB optimization Worked on Kafka\-based event\-driven architecture

## Education

Bachelor of Technology \- BTech, Computer Science, Vellore Institute of Technology

## Public links

- github: https://github\.com/Swethaaaaa
- swethaaaaa\.github\.io: https://swethaaaaa\.github\.io/Swetha\_portfolio/

[View the original profile](https://tal.club/meet/swetha-nalluri)

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