---
title: "Prakhar Saxena - Software Engineer in Noida | Tal"
description: "Meet Prakhar Saxena, Software Engineer @ Paytm | Spring Boot · Kafka · Microservices | Scaled to 20M+ Users | High-Throughput Systems | Open to Backend Roles based in Noida. AI stack includes claude code, codex, and cursor."
image: "https://tal.club/meet/prakhar-saxena-1/share-image"
---

# Prakhar Saxena on Tal

## Headline

Software Engineer @ Paytm \| Spring Boot · Kafka · Microservices \| Scaled to 20M\+ Users \| High\-Throughput Systems \| Open to Backend Roles

## About

I build backend systems that scale\. Currently at Paytm, I work on distributed Java services that power financial workflows for 20M\+ users — from high\-throughput Kafka pipelines ingesting 426 TPS to zero\-downtime statement delivery in PDF and Excel formats\. A few things I've shipped recently: → Scaled Monthly Statement Flow from 2M → 20M\+ users → Built a Kafka cashback pipeline with 99\.9% delivery reliability → Cut production incident detection time from \~30 min to under 10 min via Grafana dashboards → Reduced DB query latency by 75% at Newgen through query tuning I care about writing clean, observable, production\-ready code\. I own what I build — from design to deployment to incident resolution\. Tech I work with: Java · Spring Boot · Apache Kafka · Microservices · REST APIs · MySQL · Elasticsearch · AWS · Hibernate · Grafana · Prometheus Open to backend engineering roles at product companies building high\-scale systems\. 📩 prakharsaxena040396@gmail\.com

## Location

Noida

## AI stack

claude code

codex

cursor

opencode

claudecode

## Work experience

Software Engineer at Paytm, Oct 2024 \- Present · 1 yr 11 mos, ▸ Scaled Monthly Statement Flow from 2M to 20M\+ users, delivering statements in PDF and Excel formats with email and push notification integration\. ▸ Designed and built a Kafka\-based cashback pipeline ingesting 426 TPS, achieving 99\.9% delivery reliability through resilient retry and failure\-handling mechanisms\. ▸ Owned end\-to\-end deployment and production release of the Statement Flow — zero\-downtime rollouts serving 20M\+ users\. ▸ Reduced production incident detection time from \~30 minutes to under 10 minutes by building Grafana dashboards and monitoring alerts\. ▸ Managed service deployments, monitoring, and incident resolution for backend services and streaming pipelines in production\. Tech: Java · Spring Boot · Apache Kafka · MySQL · Elasticsearch · AWS · Grafana · Prometheus · ArgoCD

Software Engineer at Newgen Software, Jun 2022 \- Oct 2023 · 1 yr 5 mos, Noida, ▸ Reduced average query response time by 75% through targeted query tuning and data access layer optimization across a 100,000\+ employee dataset\. ▸ Led development of the medical card generation module for 100,000\+ employees, implementing unique identifiers for accurate issuance and full traceability\. ▸ Designed and implemented MVC architecture for employee data management, improving data integrity, maintainability, and separation of concerns\. Tech: Java · Spring Boot · REST APIs · MySQL · Hibernate · MVC

## Education

Bachelor's degree, Geetanjali Institute of Technical Studies, Udaipur

[View the original profile](https://tal.club/meet/prakhar-saxena-1)

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